<rss version="2.0">
    <channel>
        <title>ScholarVox International : Nouveautés
         : Sciences, informatique et techniques</title>
        <description />
        <link>http://international.scholarvox.com</link>

                <item>
            <title><![CDATA[ Algorithmique : Cours avec 931 exercices et 162 problèmes Ed. 4 ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980927</link>
            <description><![CDATA[
            Auteur : Cormen, Thomas H.<br/> 
            Editeur : Dunod<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980927"><img src="https://static.cyberlibris.com/books_upload/300pix/9782100891894.jpg" /></a></p>
            <p><p><strong>Ce m<strong>anuel de r&eacute;f&eacute;rence</strong></strong> <strong>pour l&rsquo;apprentissage des algorithmes modernes vous est pr&eacute;sent&eacute; dans sa 4<sup>e</sup> &eacute;dition enti&egrave;rement mise &agrave; jour et dans une nouvelle traduction compl&egrave;te</strong><br />L'&eacute;ventail des algorithmes &eacute;tudi&eacute;s va des plus classiques (tris, hachage...) aux plus r&eacute;cents (algorithmes parall&egrave;les...) permettant ainsi de passer progressivement des notions &eacute;l&eacute;mentaires aux th&egrave;mes les plus pointus. Pr&egrave;s de 250 figures illustrent les notions th&eacute;oriques<br />Tous les algorithmes sont d&eacute;crits en <strong>fran&ccedil;ais </strong>et dans un <strong>pseudo-code </strong>qui a &eacute;t&eacute; con&ccedil;u pour &ecirc;tre compr&eacute;hensible par tous ceux qui ont d&eacute;j&agrave; fait un minimum de programmation.<br />Chacun des 35 chapitres comportent des <strong>exercices au fil de ses sections (931 en tout</strong>) et se termine par des <strong>probl&egrave;mes (162 en tout).</strong> Une partie des solutions &agrave; ces exercices et &agrave; ces probl&egrave;mes est accessible en ligne (en anglais) &agrave; l&rsquo;adresse suivante <a href="http://mitpress.mit.edu/algorithms/">http://mitpress.mit.edu/algorithms/</a>.<br />Les paragraphes et les exercices qui s&rsquo;adressent plus sp&eacute;cifiquement aux &eacute;tudiants de niveau master sont rep&eacute;r&eacute;s par une &eacute;toile (*).<br />Parmi les nombreuses mises &agrave; jour de cette <strong>4<sup>e</sup> &eacute;dition</strong>, on distinguera <strong>trois nouveaux chapitres</strong> sur les couplages de graphes bipartis, les algorithmes en ligne, et l&rsquo;apprentissage automatique. <strong>140 nouveaux exercices et 22 nouveaux probl&egrave;mes </strong><strong>font &eacute;galement parti des nouveaut&eacute;s.</strong><br />&nbsp;</p></p>
            ]]></description>
            <pubDate>2026-06-24T08:00:01.450</pubDate>
        </item>
                <item>
            <title><![CDATA[ Structurer et Produire l'Innovation dans les systèmes ayant des Cultures et de l'Elevage - Volume 106 : Ensemble ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980924</link>
            <description><![CDATA[
            Auteur : Collectif<br/> 
            Editeur : INRAE<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980924"><img src="https://static.cyberlibris.com/books_upload/300pix/9782738014863.jpg" /></a></p>
            <p><p>Le Réseau Mixte Technologique SPICEE - Structurer et produire l'innovation dans les systèmes ayant des cultures et de l'élevage ensemble - a été labellisé en 2020 pour une durée de 5 ans. Son enjeu est de dégager des principes génériques de fonctionnement conjoint des productions animales et végétales à l’échelle de la ferme, d’un collectif de ferme et d’un territoire et des modalités de réussite des approches de bouclage des cycles. Pour cela, les méthodes et outils adaptés à la diversité des formes et contextes d’existence des systèmes culture - élevage sont à produire. L’association culture-élevage est vue comme un levier pour accompagner la transition agroécologique, prendre en compte l’épuisement des ressources non renouvelables dans un contexte de changement climatique et d’aléas économiques croissants.</p></p>
            ]]></description>
            <pubDate>2026-06-24T08:00:01.450</pubDate>
        </item>
                <item>
            <title><![CDATA[ Mathématiques Tout-en-un pour la Licence 1 Ed. 5 ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980933</link>
            <description><![CDATA[
            Auteur : Ramis, Jean-Pierre<br/> 
            Editeur : Dunod<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980933"><img src="https://static.cyberlibris.com/books_upload/300pix/9782100898473.jpg" /></a></p>
            <p><p>Cet ouvrage de r&eacute;f&eacute;rence couvre, en un seul volume, <strong>l&rsquo;ensemble du programme de math&eacute;matiques du niveau L1</strong>. Il est compos&eacute; de vingt-deux modules regroup&eacute;s en cinq th&egrave;mes : Notations et vocabulaire, Alg&egrave;bre, G&eacute;om&eacute;trie, Analyse et enfin Probabilit&eacute;s et Statistiques.<br />Sa pr&eacute;sentation permet &agrave; l&rsquo;&eacute;tudiant, quel que soit son cursus, de s&rsquo;initier &agrave; son rythme aux th&egrave;mes figurant &agrave; son programme et de conforter ses acquis. L&rsquo;&eacute;tudiant dispose des d&eacute;finitions pr&eacute;cises et des &eacute;nonc&eacute;s et d&eacute;monstrations des th&eacute;or&egrave;mes essentiels.</p></p>
            ]]></description>
            <pubDate>2026-06-24T08:00:01.450</pubDate>
        </item>
                <item>
            <title><![CDATA[ Cloud Computing Essentials : Navigating cloud certification pathways through infrastructure technical mastery (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980646</link>
            <description><![CDATA[
            Auteur : Shankar Chintale, Pradeep<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980646"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378548956.jpg" /></a></p>
            <p><b>Description</b><br>
Cloud computing has become the essential foundation for modern digital transformation, enabling businesses to scale rapidly and innovate through on-demand technology. This book is an all-encompassing guide designed to empower IT professionals and beginners alike with the knowledge and skills needed to master cloud computing.<br><br>

This book offers a user-friendly approach to learning, covering everything from fundamental concepts to advanced techniques across major cloud platforms like AWS, Azure, and Google Cloud. You will master core infrastructure like EC2 and Kubernetes while exploring advanced security, data management, and automated machine learning pipelines specifically within the Azure ecosystem. It further addresses multi-cloud strategies, hybrid infrastructure, and real-world projects essential for enterprise environments. Every chapter combines technical knowledge with certification guidance, offering a complete roadmap to success in the evolving cloud landscape.<br><br>

By the end of this book, you will possess a professional-grade understanding of the global cloud market and the technical competence to deploy secure, AI-enhanced solutions. You will be fully prepared to navigate complex cloud architectures and advance your career in this high-growth industry.
<p></p>

<b>What you will learn</b><br/>
? Analyze virtualization layers and architectural components.<br>
? Implement AWS global infrastructure.<br>
? Configure Azure Active Directory.<br>
? Orchestrate containerized applications using Amazon EKS.<br>
? Scale ChatGPT on cloud infrastructure.<br>
? Design hybrid cloud architectures.<br>
? Build an automated machine learning pipeline.
<p></p>

<b>Who this book is for</b><br>
This book caters to beginners and experienced professionals, including software engineers, data scientists, and system architects. No prior cloud experience is required, though basic technical literacy helps. It is ideal for the existing workforce aiming to master modern cloud-native infrastructures.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Cloud Computing<br>
2. Fundamentals of Cloud Computing<br>
3. Amazon Web Services Fundamentals<br>
4. Advanced AWS Services<br>
5. Microsoft Azure Fundamentals<br>
6. Advanced Azure Services<br>
7. Google Cloud Platform Fundamentals<br>
8. Advanced Google Cloud Platform Services<br>
9. Cloud Computing Security in Azure<br>
10. Data Management in Azure Cloud<br>
11. Machine Learning in Azure<br>
12. Multi-cloud and Hybrid Cloud Strategies<br>
13. Designing and Developing Data Pipelines in Azure<br>
14. Implementing Machine Learning Pipelines in Azure<br>
15. Cloud Computing Career Pathways<br>
16. Integrating Cloud Computing with ChatGPT

</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Microsoft Cybersecurity Architect SC-100 Exam Guide : Design and implement secure solutions for the SC-100 exam (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980633</link>
            <description><![CDATA[
            Auteur : Miles, Steve<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980633"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365897197.jpg" /></a></p>
            <p><b>Description</b><br>
Microsoft security is the essential foundation for protecting modern businesses, and mastering its architecture is vital for any cybersecurity professional. The SC-100 Microsoft Cybersecurity Architect exam focuses on how security solutions are designed across identity, data, applications, and infrastructure using Microsoft technologies.<br><br>

This book follows the SC-100 skills measured, aligned to the January 2026 exam update. It explores Zero Trust, identity, security operations, data protection, network design, and governance, focusing on how these pieces fit together as the exam expects. You will learn to architect resiliency with the Cloud Adoption Framework, manage identities through Entra ID, and secure privileged access using PIM. The book also discusses hardening endpoints, IoT, and OT systems while mastering cloud workload protection and network security via Entra Private Access. Finally, you will design robust data governance across Microsoft 365, APIs, and Azure databases using Purview and Defender for Cloud.<br><br>

By the end of this book, you will be well-equipped to evaluate complex security requirements and design end-to-end solutions that meet global compliance standards. You will possess the practical skills needed to ace the SC-100 exam and excel as a professional Microsoft cybersecurity architect in real-world scenarios.
<p></p>

<b>What you will learn</b><br/>
? Design security solutions aligned to best practices and priorities.<br>
? Build approaches to identity, access, and privileged control design.<br>
? Work through security operations and compliance capability design.<br>
? Design infrastructure protection across cloud and hybrid environments.<br>
? Apply security design to applications, workloads, and data protection.<br>
? Connect governance, risk, and compliance into security architectures.<br>
? Understand how different security controls fit together in practice.<br>
? Evaluate security designs across platforms and integrated environments.
<p></p>

<b>Who this book is for</b><br>
This book is for security architects, cloud architects, and experienced engineers preparing for the SC-100 exam. Readers should possess strong foundational knowledge of Microsoft security technologies, focusing on designing identity, data, and infrastructure solutions within complex enterprise environments.
<p></p>

<b>Table of Contents</b><br>
1. Design a Resiliency Strategy for Attacks<br>
2. Design Security Solutions with Microsoft Security Benchmarks<br>
3. Design Security Solutions with Microsoft Cloud Frameworks
4. Design Security Operations Solutions<br>
5. Design Identity and Access Control Solutions<br>
6. Design Privileged Access Management Solutions<br>
7. Design Regulatory Compliance and Data Governance Solutions<br>
8. Design Cloud and Hybrid Security Solutions<br>
9. Design Endpoint and Device Security Solutions<br>
10. Design Workload and Platform Protection Solutions<br>
11. Design Network Security Architecture Solutions
12. Design Microsoft 365 Security Solutions<br>
13. Design Application and API Security Solutions
14. Design Data Protection and Governance Solutions<br>
15. Practice Exams
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Building Software with Vibe Coding : From idea to production with AI (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980631</link>
            <description><![CDATA[
            Auteur : Agrawal, Ambuj<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980631"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378544323.jpg" /></a></p>
            <p><b>Description</b><br>
Vibe coding is revolutionizing software development, allowing users to build and ship functional applications through conversational prompting rather than traditional coding. This emerging methodology accelerates prototyping and enables rapid creation of digital products.<br><br>

This book explores the cutting-edge developments in the field of AI-powered software development from its foundational principles to the most advanced vibe coding techniques available today. We will discuss the paradigm shift from code-first to prompt-first development, examine how vibe coding is disrupting industries from healthcare to finance, and investigate the tools, platforms, and practices that make this methodology so powerful. Our journey will take us through the conversational development model, architectural considerations of AI-assisted applications, and ambitious real-world projects that demonstrate what is truly possible when you simply describe what you want and let AI figure out the rest.<br><br>

By the end of this book, you will be a competent creator capable of moving fast and shipping products without getting bogged down in legacy engineering concepts. You will possess a holistic, hands-on understanding of vibe coding, ready to leverage AI to turn your creative visions into high-performance, real-world software.
<p></p>

<b>What you will learn</b><br/>
? Build real applications using only natural language prompts.<br>
? Ship web and mobile apps without writing code.
? Automate business workflows through vibe coding.<br>
? Choose the right vibe coding platform for your project.<br>
? Debug and iterate vibe coded applications using prompt refinement techniques.
<p></p>

<b>Who this book is for</b><br>
This book is intended for startup founders, creators, CTOs, business leaders, and anyone who believes that moving fast and shipping products matters more than getting bogged down in legacy software engineering concepts.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Vibe Coding<br>
2. Vibe Coding Applications Across Industries<br>
3. Types of Software Suitable for Vibe Coding<br>
4. AI Models, Tools and Practices for Vibe Coding<br>
5. Building Your First Web Application with Vibe Coding<br>
6. Building Mobile Applications with Vibe Coding<br>
7. Automating Tasks and Workflows with Vibe Coding<br>
8. Advanced Vibe Coding Projects and Limitations<br>
9. Future Trends in Vibe Coding
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ 30 Agents Every AI Engineer Must Build : Build production-ready agent systems using proven architectures and patterns ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88979272</link>
            <description><![CDATA[
            Auteur : Ahmad, Imran<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88979272"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806109005.jpg" /></a></p>
            <p><p><b>Learn to transform LLM capabilities into production-ready agent systems using practical patterns and domain-driven approaches, guided by Imran Ahmad, author of 50 Algorithms Every Programmer Should Know

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

</b></p><h4>Key Features</h4><ul><li>Design and implement 30 proven agent architectures used in real-world production environments</li><li>Build scalable, secure, and resilient agent workflows that move beyond simple chat interfaces</li><li>Master core agentic principles—perception, memory, reasoning, and planning—to create truly autonomous systems</li></ul><h4>Book Description</h4>As AI evolves from passive tools into proactive collaborators, intelligent agents are leading a fundamental shift in computing. This guide provides the critical knowledge of agent architectures, practical tools, and industry approaches needed to build robust, autonomous AI systems that do more than just generate text—they act.
You will begin by mastering foundational capabilities: perception, memory, reasoning, planning, and learning. You’ll gain deep insight into the cognitive loops that drive autonomous behavior and build sophisticated architectures using frameworks such as LangChain and LangGraph.
The book explores high-impact applications across diverse sectors, including software development, finance, manufacturing, legal and education, to show how agents optimize workflows, automate quality control, and enhance advisory systems. Through real-world case studies, you will create agents capable of contextual reasoning, effective tool use, and seamless human collaboration. Finally, you’ll learn essential strategies for deployment, management, and ethical alignment, ensuring your AI solutions are both scalable and responsible in production environments.
Whether you're building your first intelligent agent or improving business systems, this book provides clear, actionable guidance for creating scalable and responsible AI solutions.

*Email sign-up and proof of purchase required

<h4>What you will learn</h4><ul><li>Deploy production-ready agent systems that scale securely and reliably</li><li>Use LangChain and LangGraph to build autonomous agents with modular architectures</li><li>Implement agents with sophisticated memory, planning, and reasoning capabilities</li><li>Seamlessly integrate tools, APIs, and external data into agent workflows</li><li>Establish robust evaluation frameworks to measure and optimize agent performance</li><li>Implement guardrails and explainability features to ensure ethical and safe deployment</li><li>Build multi-agent systems for complex, collaborative task orchestration</li><li>Apply specific agent architectures across healthcare, finance, and legal domains</li></ul><h4>Who this book is for</h4><p>This book is designed for AI engineers, software developers, machine learning researchers, and technical leaders who are building intelligent systems or deploying LLM-powered applications. It is particularly beneficial for professionals transitioning from traditional machine learning to agent-based architectures or those solving complex automation challenges. Python experience and basic machine learning knowledge are recommended to get the most out of the code implementations.</p></p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Data Science Crash Course : Statistical mathematics, advanced data analysis, and computational techniques for insightful decision making (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980629</link>
            <description><![CDATA[
            Auteur : Chopra, Dr. Deepti<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980629"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365898958.jpg" /></a></p>
            <p><b>Description</b><br> 
Data science is the engine driving modern innovation, making Python mastery essential for anyone looking to turn raw information into actionable strategy. This book serves as your streamlined roadmap, bridging the gap between basic data literacy and professional-grade analytical execution. 

This book provides a solid foundation in Python programming, including loops and conditional statements, before advancing to high-performance libraries like NumPy, Pandas, Matplotlib, and SciPy. You will master the data analysis process, from cleaning missing values to advanced visualization with Seaborn and geospatial mapping. It concludes with the mathematical foundations of supervised and unsupervised learning, predictive mining, and building recommender systems through real-world case studies in healthcare, finance, and retail analytics. 

By the end of the book, you will be well-equipped to handle complex datasets and deploy predictive models with confidence. You will possess a practical understanding of data science principles and a professional project portfolio, ready to apply these skills to solve real-world problems in any industry. 
<p></p> 

<b>What you will learn</b><br/> 
? Apply supervised, unsupervised learning, and predictive mining algorithms. 
? Configure Python environments using essential data science libraries. 
? Optimize data manipulation using NumPy and Pandas DataFrames. 
? Clean, structured, and unstructured data for analytical modeling. 
? Master end-to-end data science workflows and professional roles. 
? Implement Python control structures and complex data structures. 
<p></p> 

<b>Who this book is for</b><br> 
The book is designed for students, engineers, and mathematicians transitioning into data science. This book also supports analysts and managers aiming for strategic decision-making. Researchers and current professionals can strengthen their foundations, provided they possess a basic understanding of mathematics and logical reasoning. 
<p></p> 

<b>Table of Contents</b><br> 
1. Introduction to Data Science 
2. Roles and Responsibilities of a Data Scientist 
3. The Necessity of Python in Data Science 
4. Introduction to Data Understanding 
5. Data Preprocessing 
6. Creating Synthetic Datasets in MS Excel 
7. Basics of Python Programming 
8. Working with Python Data Structures 
9. Data Analysis Process 
10. Essential Python Libraries for Data Science 
11. Data Processing and Visualization 
12. Mathematical and Scientific Applications 
13. Developing Recommender Systems 
14. Real-world Applications and Case Studies 
15. Practical Examples and Exercises 
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ AI-Driven Industry Transformation : Using emerging technologies including IoT in businesses (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980650</link>
            <description><![CDATA[
            Auteur : Pahuja, Neena<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980650"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378540837.jpg" /></a></p>
            <p><b>Description</b><br>
With technology changing rapidly and businesses becoming more competitive, adopting the latest technology is no longer just a desire; it has become essential for businesses. Technology is helping organizations not only reinvent and redefine themselves but also create new business models that were previously not possible.<br><br>

This book offers a practical journey through business transformation using emerging technologies. It provides references to use cases and applications that can be developed across industries using a combination of emerging technologies. It explains how Industry 4.0 is helping organizations become more productive and examines sectors such as BFSI, media and entertainment, defense, and education, which are undergoing major transformation through technology. The book suggests a basic process for carrying out a transformation journey, including business risk management and technology architecture. It also highlights the importance of explainable AI and ethics in AI to ensure proper regulations, while addressing challenges, risk management, and concepts such as artificial general intelligence (AGI).<br><br>

By the end of this book, you will be equipped to handle real-world projects and confidently apply your knowledge to solve complex problems and create innovative solutions.
<p></p>

<b>What you will learn</b><br/>
? Emerging technology trends and their applications in different business verticals.<br>
? Future trends in agriculture to meet the growing food requirements.<br>
? Using healthcare data for new age innovations in healthcare.<br>
? Movement to customer and employee-centric manufacturing, Industry 6.0.<br>
? Smart city and models to aggregate systems for a smarter country.
<p></p>

<b>Who this book is for</b><br>
This comprehensive guide helps beginners and C-suite executives navigate business and emerging tech. It offers actionable digital transformation steps for leaders, academics, professionals, entrepreneurs, and compliance experts.
<p></p>

<b>Table of Contents</b><br>
1. Emerging Technologies and Augmented Intelligence<br>
2. Augmented Intelligence with IoT for Agriculture and Sustainability<br>
3. Technology Disrupting Healthcare<br>
4. Industry 4.0/5.0 Impacting Manufacturing<br>
5. Making Cities Smarter<br>
6. Transforming Banking, Financial Services, and Insurance<br>
7. Augmented IoT in Retail, Transportation, Logistics, and Service Industry<br>
8. Defense Intelligence Internet of Things<br>
9. Democratizing Education and Skilling Using Technology<br>
10. Reshaping the Entertainment Industry<br>
11. Industrial Digital Transformation Journey<br>
12. New-age Skilling for Digital Transformation<br>
13. Core Technology Frameworks Required for Digital Transformations<br>
14. Summary and Future Directions
Appendix A: References
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ La biodiversité en 30 questions ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980475</link>
            <description><![CDATA[
            Auteur : Grandcolas, Philippe<br/> 
            Editeur : La Documentation française<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980475"><img src="https://static.cyberlibris.com/books_upload/300pix/9782111740549.jpg" /></a></p>
            <p>Un livre de poche pédagogique et facile d’accès pour faire le tour des questions liées à la biodiversité : les définitions clés (ce qu’est une espèce biologique, un écosystème, l’évolution, etc.), mais aussi les enjeux liés à la mise en danger des espèces.<BR />
La Terre est aujourd’hui la seule planète qui abrite la vie. Face à une perte d’espèces de plus en plus rapide, il est plus que jamais nécessaire de comprendre le fonctionnement de la biodiversité, mais aussi les conséquences des activités humaines, et les solutions réalistes pour la préserver.<BR />
En quoi toutes les espèces sont-elles utiles ? Comment cohabiter avec elles sans leur nuire ? La perte de la biodiversité est-elle devenue une crise à part entière ?</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Digital Forensics Playbook : Practical recipes for investigating enterprise Windows and Linux system artifacts (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980636</link>
            <description><![CDATA[
            Auteur : Krishna, Nishant<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980636"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365891515.jpg" /></a></p>
            <p><b>Description</b><br>
Digital forensics identifies and preserves digital evidence for legal use. By recovering data from diverse sources, investigators track trails vital for solving cybercrimes, managing network intrusions, and ensuring compliance. It is a key pillar of modern security and data recovery.<br><br>

This book systematically guides you through enterprise readiness, legal compliance, and setting up forensic environments using Python and PowerShell. You will master evidence acquisition across Windows, Linux, and macOS, while exploring network analysis, memory forensics, and malware dissection with Sysinternals and VirusTotal. The book also explores case management with Autopsy, mobile forensics for Android and iOS, and bit-for-bit disk imaging. Featuring over 100 practical recipes, you will learn professional DFIR reporting and cloud-native evidence collection within AWS and Azure.<br><br>

By the end of this book, readers will have the essential digital forensics skills to investigate, respond to, and recover from cyberattacks while preserving evidence for legal, regulatory, or internal use. Existing cybersecurity professionals will find it easy to acquire these skills, helping them achieve their digital forensics career goals.
<p></p>

<b>What you will learn</b><br/>
? Understanding of core principles, concepts, and processes of digital forensics.<br>
? Identifying, preserving, and presenting digital evidence in a court of law.<br>
? Maintaining a strict chain of custody.<br>
? Hands-on knowledge of tools, techniques, and approaches used by digital forensics professionals.<br>
? Hands-on approaches to analyzing and investigating digital forensics cases and incidents.<br>
? The fundamental, blended disciplines of digital forensics and incident response.<br>
? Reconstructing system timelines.
<p></p>

<b>Who this book is for</b><br>
This book is for cybersecurity professionals, CHFI aspirants, system administrators, and DevSecOps engineers seeking automated forensic skills. It serves researchers, faculty, and students needing practical expertise in Windows, Linux, and cloud forensics. Basic familiarity with computer systems and security is recommended. 
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Digital Forensics<br>
2. Digital Forensics for Enterprises<br>
3. General Digital Forensics Techniques<br>
4. Development Environment for Digital Forensics<br>
5. Linux Forensics<br>
6. Windows Forensics<br>
7. Network Forensics<br>
8. Memory Forensics<br>
9. Malware Forensics<br>
10. Working with Digital Forensics Cases<br>
11. Mobile Forensics<br>
12. Imaging Techniques<br>
13. Digital Forensics and Incident Response<br>
14. Cloud Forensics
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Des idées pour mon potager ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980054</link>
            <description><![CDATA[
            Auteur : Bataille, Leatitia<br/> 
            Editeur : Editions France Agricole<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980054"><img src="https://static.cyberlibris.com/books_upload/300pix/9782487670341.jpg" /></a></p>
            <p>Le potager n’a jamais été aussi actuel. 
Cultiver ses propres légumes répond à une quête de sens, de qualité et de proximité. À l’heure des circuits courts et du retour vers des modes de vie plus simples, le jardin — même modeste — devient un espace précieux. Le potager, symbole d’autonomie et de bien-être, incarne une valeur sûre : produire, se nourrir, transmettre. Le jardinage, activité physique douce et régulière, renforce encore cet art 
de vivre. Ce livre célèbre le potager et son prolongement naturel, le verger.</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ SRE with AIOps : Building resilient systems with AIOps, ML-driven observability, and agentic AI (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980639</link>
            <description><![CDATA[
            Auteur : Behl, Sunny<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980639"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378542343.jpg" /></a></p>
            <p><b>Description</b><br>
As digital ecosystems grow more complex and customer expectations reach new heights, the convergence of site reliability engineering (SRE) and artificial intelligence for IT operations (AIOps) is redefining how modern enterprises ensure resilience, performance, and reliability at scale. Intelligent automation and data-driven operations are no longer optional; they are the foundation of competitive advantage. This book is your essential guide to merging these two powerful disciplines to build faster, smarter, and more resilient operations.<br><br>

This book begins with the foundational principles of SRE: SLOs, SLIs, error budgets, and toil reduction, before progressing through AIOps tooling, observability, and the unified knowledge base. Readers explore intelligent incident management, change and problem management, advanced anomaly detection using autoencoders and isolation forests, causal inference for root cause analysis, and the AIOps-powered SRE assistant. The book also explores chaos engineering, generative AI-powered SRE chatbots, and enterprise-scale AIOps adoption, culminating in a strategic roadmap for autonomous operations, predictive governance, and the role of LLMs and agentic AI in the future of reliability engineering.<br><br>

By the end of this book, readers will possess both the strategic mindset and the technical depth to architect, lead, and scale intelligent operations. Whether you are an SRE practitioner, IT architect, or technology leader, you will be equipped to move from reactive firefighting to proactive, self-healing operations, delivering measurable reliability and business impact.
<p></p>

<b>What you will learn</b><br/>
? Apply SRE principles, SLOs, SLIs, and error budgets effectively.<br>
? Evaluate and operationalize AIOps platforms for SRE goals.<br>
? Build unified observability models from logs, metrics, and traces.<br>
? Automate incident triage, correlation, and postmortem workflows.<br>
? Deploy advanced anomaly detection using ML models.<br>
? Design chaos engineering experiments to validate SLOs.<br>
? Architect generative AI chatbots for incident and runbook automation.<br>
? Scale AIOps across enterprise teams with measurable outcomes.
<p></p>

<b>Who this book is for</b><br>
This book is for SREs, IT operations managers, cloud architects, and technology leaders who want to evolve from traditional operations to intelligent, AI-driven reliability practices. Readers should have intermediate experience in DevOps, SRE, or IT operations and a working familiarity with monitoring tools and cloud infrastructure.
<p></p>

<b>Table of Contents</b><br>
1. SRE Principles Driving Modern Operations<br>
2. AIOps Tools for SRE<br>
3. AIOps Knowledgebase<br>
4. Intelligent Incident Management for SREs<br>
5. Streamlining Change and Problem Management<br>
6. Path to Productivity and Reliability<br>
7. Advanced Anomaly Detection<br>
8. Causal Inference and Efficient Root Cause Analysis<br>
9. Intelligent SRE Assistant<br>
10. Chaos Engineering and Reliability Testing<br>
11. Generative AI-powered SRE Chatbot<br>
12. Scaling AIOps Across the Enterprise<br>
13. Future Trends in SRE and AIOps
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Golang Crash Course : Use Golang to build high-performance concurrent cloud-native applications (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980640</link>
            <description><![CDATA[
            Auteur : R, Venkatesh<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980640"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365895797.jpg" /></a></p>
            <p><b>Description</b><br>
Golang, which is created and maintained by Google, is one of the most powerful programming languages used to build cloud-native applications and distributed systems. The simplicity, concurrency model, and efficient runtime of the programming language make it a preferred choice for modern cloud and microservices.<br><br>

The Golang Crash Course is a comprehensive and structured guide that covers all the necessary concepts to become a Golang expert, including concurrency, microservices architecture, and scalable API development. The book begins with the basics of Golang’s syntax, data structures, functions, and error handling. It then explores Golang’s powerful concurrency model using goroutines and channels, which helps readers design highly efficient parallel programs. In the final section, readers will learn how to build real-world microservices, develop REST APIs, secure services, deploy applications using Docker and Kubernetes, and finally manage data in distributed systems.<br><br>

By the end of this book, readers will be able to design, build, secure, and deploy production-ready Golang applications. They will gain practical experience in building scalable backend services and cloud-native systems using modern development tools and best practices. 
<p></p>

<b>What you will learn</b><br/>
? Understand Golang’s syntax, types, and language fundamentals.<br>
? Building efficient programs using goroutines and channels.<br>
? Designing scalable REST APIs and microservices in Golang.<br>
? Organizing Golang applications using packages and modules.<br>
? Securing services with authentication, TLS, and RBAC.<br>
? Deploying Golang applications using Docker and Kubernetes.
<p></p>

<b>Who this book is for</b><br>
This book is designed for engineering students, software developers, backend engineers, cloud engineers, and DevOps professionals who want to learn Golang for building modern and cloud-native distributed applications. It is suitable for beginners to intermediate developers who have basic programming knowledge in any languages like Java, Python, C, or C++.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Go<br>
2. Go Syntax and Language Fundamentals<br>
3. Functions and Error Handling in Go<br>
4. Structs and Methods<br>
5. Arrays, Slices, and Maps<br>
6. Pointers<br>
7. Interfaces in Go<br>
8. Packages and Modules<br>
9. Introduction to Go Concurrency<br>
10. Channels and Synchronization<br>
11. Select Statements and Timers<br>
12. Advanced Concurrency Patterns<br>
13. Error Handling in Concurrency<br>
14. Understanding Microservices Architecture<br>
15. Building a Simple REST API in Go<br>
16. Advanced RESTful API Design<br>
17. Securing Microservices<br>
18. Testing Microservices<br>
19. Managing Data in Microservices<br>
Appendix A: Go Tools and Resources<br>
Appendix B: Glossary<br>
Appendix C: Answers to Exercises
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Networking with Linux : Master Linux networking from switching to VPNs, monitoring, troubleshooting, and tuning your networks (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980641</link>
            <description><![CDATA[
            Auteur : Dutta Chowdhury, Chandan<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980641"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378546860.jpg" /></a></p>
            <p><b>Description</b><br>
Linux networking is the backbone of modern IT infrastructure, powering everything from local servers to massive cloud environments. Linux offers robust support for networking technologies like switching, routing, firewalls, load balancing, VPNs, etc., making it a great platform for networking enthusiasts, administrators, and developers.<br><br>

This book is structured to guide you from fundamental concepts to advanced configurations. You will start by understanding the basic concepts of switching and routing on Linux, progress into advanced topics of firewalls and load balancers, and explore traffic shaping and VPNs. Later chapters explore network monitoring, troubleshooting of network services, and networking in the cloud. Each chapter includes practical examples and best practices. Whether you are configuring a home network or setting up an enterprise system, this book provides the essential foundation for networking services on Linux. This book will equip you to handle real-world scenarios from providing connectivity, securing access using firewalls, VPNs, load balancing, and other essential network services on Linux.<br><br>

By the time you finish this book, you will have developed a clear foundation in networking; you will understand how services like routing, firewalls, load balancers, etc., work and how to configure them on Linux. The concepts you learn in this book will help get a better insight into the internals of services that you use every day.
<p></p>

<b>What you will learn</b><br/>
? Switching and routing on Linux.<br>
? Tools for troubleshooting networking issues.<br>
? Securing access with firewalls and VPN.<br>
? Load balancing and traffic shaping.<br>
? Monitoring with eBPF tools.<br>
? Implement policy-based routing and VRF isolation.<br>
? Secure tunnels with WireGuard and IPsec VPNs.
<p></p>

<b>Who this book is for</b><br>
This book is for beginner to advanced sysadmins, network admins, and DevOps engineers. While basic Linux familiarity helps, this guide transitions you from simple configurations to expert-level skills in routing, firewalling, virtual networking, load balancing, and advanced TCP stack tuning. 
<p></p>

<b>Table of Contents</b><br>
1. Understanding Networking on Linux<br>
2. Routing and Packet Forwarding<br>
3. Firewalls and Packet Filtering<br>
4. Network Troubleshooting and Diagnostics<br>
5. Network Services and Protocols<br>
6. Load Balancing and High Availability<br>
7. Network Namespaces and Virtual Networking<br>
8. Traffic Shaping and QoS<br>
9. Deep Dive into TCP/IP Stack Tuning<br>
10. Virtual Private Networks on Linux<br>
11. Virtual Networking and Cloud Integration<br>
12. Network Monitoring with eBPF
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Red Teaming and Penetration Testing : An end-to-end guide to modern adversary simulation, cloud attacks, and defense (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980623</link>
            <description><![CDATA[
            Auteur : Degtiarev, Konstantin<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980623"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365894165.jpg" /></a></p>
            <p><b>Description</b><br>
Modern cyberattacks no longer rely on noisy exploits or obvious malware. Today’s adversaries abuse identity systems, cloud APIs, misconfigurations, CI/CD pipelines, and trusted infrastructure to move laterally, persist, and quietly exfiltrate data. Red Teaming has evolved from penetration testing into full adversary simulation, testing not just vulnerabilities but real organizational resilience.<br><br>

This book provides a practical guide to modern red team operations. It covers reconnaissance, initial access, privilege escalation, lateral movement, command-and-control, persistence, cloud and Kubernetes attacks, CI/CD and supply-chain abuse, and real-world post-exploitation techniques. Defensive strategies are tightly integrated, including identity hardening, admission controls, policy as code, detection engineering, and incident response, with real case studies demonstrating how attacks succeed and how they are stopped.<br><br>

After reading this book, readers will be able to model real attacker behavior, execute or defend against realistic red team engagements, and translate offensive findings into concrete security controls, detections, and operational improvements.
<p></p>

<b>What you will learn</b><br/>
? Model real-world attacker behavior using modern red team techniques.<br>
? Exploit identity, cloud, and CI/CD trust relationships safely.<br>
? Perform post-exploitation, persistence, and covert data exfiltration.<br>
? Simulate adversary tactics across enterprise and cloud environments.<br>
? Detect and contain attacks using outcome-focused telemetry.<br>
? Translate red team findings into defensive engineering controls.
<p></p>

<b>Who this book is for</b><br>
This book is for red team operators, penetration testers, and blue team engineers. SOC analysts, DevSecOps engineers, and security architects will also benefit. Readers should possess basic networking knowledge and Linux command-line familiarity to master real-world offensive and defensive strategies.
<p></p>

<b>Table of Contents</b><br>
1. Understanding Red Teaming<br>
2. Understanding the Hacker's Mindset and Reconnaissance<br>
3. Initial Access for Bypassing Security Controls<br>
4. Privilege Escalation and Lateral Movement<br>
5. Command and Control Frameworks and Persistence<br>
6. Striking Cloud Environments<br>
7. Active Directory, FreeIPA, and IAM Security<br>
8. Bypassing Advanced Protection Mechanisms<br>
9. Post-exploitation and Data Exfiltration<br>
10. Defensive Strategies and Securing Applications<br>
11. Real-world Red Teaming Case Studies and Insights
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Comprehensive Data Structures and Algorithms in Python : Learn fundamentals with 500+ code samples and problems (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980638</link>
            <description><![CDATA[
            Auteur : Srivastava, S. K.<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980638"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365893229.jpg" /></a></p>
            <p><b>Description</b><br>
Data Structures and Algorithms are important subjects in any university curriculum for the computer science stream. It provides a great tool in the hands of software engineers and plays a significant role in software design and development. It is also becoming a must-have skill for many competitions and job interviews in the software industry.<br><br>

This book covers the topics useful for students and also for software developers working in the industry. The concepts are explained in a step-wise manner and illustrated with numerous figures, text, examples, and immediate code samples, which help in a better understanding of data structures and algorithms with their implementation. There are exercises at the end of the chapters that help students to explore more and build a better foundation of the subject. The book has more than 500 illustrations, code samples, and problems. Solutions for exercises are also available with the programs. Students can use it for self-learning, and developers can use this for providing efficient solutions for their day-to-day development problems.<br><br>

After completion of this book, students will have a good understanding of Data Structures and Algorithms concepts and implementation. Software engineers will be able to provide better solutions with appropriate data structures and efficient algorithms.
<p></p>

<b>What you will learn</b><br/>
? Fundamentals of data structures and algorithms.<br>
? Algorithms analysis.<br>
? Variety of data structures and algorithms useful for software design and development.v
? How to efficiently use different data structures and algorithms.<br>
? When and where to use appropriate data structures and algorithms.<br>
? Data structures and algorithms concepts with implementation.<br>
? Approach to solve problems using right data structures and algorithms.
<p></p>

<b>Who this book is for</b><br>
Students who want to self-study data structures and algorithms for their university curriculum subject and to enter software industry. It is also useful for software engineers who want to learn it to solve day to day problems with better software design and writing efficient code.
<p></p>

<b>Table of Contents</b><br>
1. Introduction<br>
2. Python Lists<br>
3. Linked Lists<br>
4. Stacks and Queues<br>
5. Recursion<br>
6. Trees<br>
7. Graphs<br>
8. Sorting<br>
9. Searching and Hashing<br>
10. Storage Management<br>
Solutions


</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Unity for Professionals : A comprehensive guide for the Unity developer to connect, scale, and monetize (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980624</link>
            <description><![CDATA[
            Auteur : Alemany i Fruitós, Josep<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980624"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365892475.jpg" /></a></p>
            <p><b>Description</b><br>
Unity is the world's leading engine for building interactive experiences, and connecting it to modern backend systems is the secret to creating successful, high-performance games. Developers must learn cloud-based tools that will help them create highly scalable applications and improve gameplay and interaction, while optimizing security and privacy.<br><br>

This book guides you through the entire Unity Gaming Services ecosystem, starting with frontend-backend architecture and major cloud providers like AWS and Azure. You will learn to use the Unity Dashboard for deep data mining with SQL, manage player lifecycles, and implement global data privacy laws. The chapters provide hands-on instructions for cross-platform authentication, multiplayer server hosting with Docker, and real-time Vivox voice integration. You will also learn DevOps automation through Cloud Build and stabilize your projects using Cloud Diagnostics.<br><br>

By the end of this book, readers will learn how to implement more scalable, reliable, secure, and engaging applications based on real data using Unity Gaming Services. You will be a competent developer capable of launching professional-grade games with robust backend systems.
<p></p>

<b>What you will learn</b><br/>
? Learn Unity Gaming Services for scalable backend game development.<br>
? Implement multiplayer networking and reliable voice chat systems.<br>
? Optimize player lifecycle using advanced analytics and funnels.<br>
? Monetize games effectively through ads and in-app purchases.<br>
? Automate development workflows with DevOps and cloud pipelines.<br>
? Integrate artificial intelligence tools for dynamic content creation.<br>
? Create immersive experiences with VR and post-processing effects.
<p></p>

<b>Who this book is for</b><br>
This book is for intermediate Unity developers, backend engineers, and technical designers. Readers should possess fundamental C# knowledge and experience with the Unity Editor to master advanced cloud infrastructure, SQL databases, multiplayer networking, and AI integration for professional-grade applications.
<p></p>

<b>Table of Contents</b><br>
1. Frontend and Backend Development<br>
2. Cloud Computing Services<br>
3. Getting Starting with Unity Gaming Services<br>
4. Unity Dashboard<br>
5. Exploring Data with Analytics System<br>
6. Optimizing Player Lifecycle with Analytics<br>
7. Engagement, Gamification and Retention<br>
8. Data Privacy and Consent<br>
9. Unity Authentication for Multiple Platforms<br>
10. Scaling Multiplayer Games with Game Server Hosting<br>
11. Enhance Your Game with Vivox<br>
12. Unity DevOps for Streamline Game Development<br>
13. Crash and Error Reporting with Cloud Diagnostics Advanced<br>
14. Strategies for Sustainable Monetization<br>
15. Enhancing Your Projects with Unity<br>
16. Stereoscopic Images in VR<br>
17. Artificial Inteligence and Unity 3D<br>
18. Last Features of Unity 6
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Protéger les betteraves sucrières en l’absence de néonicotinoïdes - Volume 103 ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980805</link>
            <description><![CDATA[
            Auteur : Collectif<br/> 
            Editeur : INRAE<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980805"><img src="https://static.cyberlibris.com/books_upload/300pix/9782738014825.jpg" /></a></p>
            <p><p>En 2023, FranceAgriMer a mis en œuvre un appel à projets visant à recueillir des projets pour lutter contre la jaunisse de la betterave, proposés par des consortia constitués d’acteurs de la recherche et du transfert, dans le cadre de la poursuite du Plan National Recherche et Innovation (PNRI) pour lutter contre la jaunisse de la betterave. Ce Plan vise à trouver des solutions de protection des cultures de betterave sucrière suite au retrait des néonicotinoïdes. Grâce au travail conjoint de la recherche fondamentale et de la recherche appliquée, des possibilités se dessinent, tant via la prophylaxie que par l’identification de nouveaux leviers curatifs. Ces leviers, combinés les uns avec les autres, pourraient permettre de limiter l’impact de la jaunisse sur les betteraves. De l’identification des réservoirs des vecteurs, aux solutions de biocontrôle testées, et la quantification de leurs bénéfices et limites, ce numéro de la revue permet de dessiner les lignes pour assurer une production satisfaisante et durable suite au retrait des néonicotinoïdes et ainsi assurer la pérennité de cette filière industrielle.</p></p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Full Stack Web Development with React, Angular, Node.js, and DevOps : Build scalable frontend architectures using React hooks and Angular services while integrating Node.js backends and RESTful API communication layers (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980627</link>
            <description><![CDATA[
            Auteur : Kumar Tipu, Rupesh<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980627"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365891249.jpg" /></a></p>
            <p><b>Description</b><br>
Modern web development requires more than building pages and APIs. Developers now need to create responsive frontends, secure backends, reliable database integrations, and automated deployment workflows. This book addresses that need by bringing React, Angular, Node.js, and DevOps into one practical learning path.<br><br>

The book starts with HTML, CSS, advanced CSS, JavaScript, DOM, and core web technology fundamentals. It then moves into React and Angular, followed by hands-on frontend projects and framework comparison. On the backend side, it covers Node.js with Express.js, REST API development, authentication, MongoDB with Mongoose, PostgreSQL with Sequelize, web services, third-party APIs, Git and GitHub workflows, deployment strategies, and application security. The final part focuses on DevOps, including CI/CD, Docker, Docker Compose, Kubernetes, Jenkins, GitHub Actions, monitoring, and logging.<br><br>

By the end of this book, readers will be able to design, build, secure, deploy, and maintain complete web applications with confidence. The practical projects, exercises, and real-world workflow focus make it suitable for both academic learning and professional upskilling.
<p></p>

<b>What you will learn</b><br/>
? Build responsive interfaces with HTML, CSS, and JavaScript.<br>
? Create React apps with hooks, routing, and testing.<br>
? Develop Angular apps with forms, services, and guards.<br>
? Build secure REST APIs using Node.js and Express.<br>
? Integrate MongoDB and PostgreSQL in backend applications.<br>
? Consume web services and deploy applications to the cloud.<br>
? Automate delivery with Docker, Kubernetes, and CI/CD.
<p></p>

<b>Who this book is for</b><br>
This book is for students, software developers, frontend developers, backend developers, full stack developers, and technology trainers who want practical skills in modern web application development. It also suits working professionals who want to learn how to build, secure, deploy, and maintain production-ready full stack applications.
<p></p>

<b>Table of Contents</b><br>
1. HTML<br>
2. Styling HTML with CSS<br>
3. Advanced CSS Concepts<br>
4. JavaScript Fundamentals<br>
5. JavaScript and DOM Manipulation<br>
6. Web Technology Fundamentals<br>
7. React<br>
8. Angular Framework<br>
9. Hands-on Projects and Frameworks Comparison<br>
10. Backend Development with Express.js<br>
11. Databases and Integration<br>
12. Web Services and APIs<br>
13. DevOps for Web Development<br>
Appendix A: Resources for Further Reading<br>
Appendix B: Glossary of Terms

</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Python-Powered Excel : Combining the strengths of Python and Excel for deliverables and complex tasks (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980628</link>
            <description><![CDATA[
            Auteur : Arora, Dr Nisha<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980628"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378543555.jpg" /></a></p>
            <p><b>Description</b><br>
Excel is the backbone of business, but its limitations with complex data and repetitive manual tasks hinder productivity. Python, the world’s most versatile programming language, offers a powerful solution. By utilizing various tools, Excel users can move beyond basic spreadsheet functions and tap into Python's robust capabilities for advanced data analysis and automation.<br><br>

This book offers a practical guide to Excel (not necessarily 365) and Python users to automate tedious tasks, analyze data, and create dynamic reports. It will help you use Python’s power as an engine to drive analytics and produce deliverables in Excel, as most stakeholders expect. The first section introduces Python, one of today’s most popular languages. Learning Python is a stepping stone to mastering other advanced libraries, transitioning smoothly into broader data and automation tools. The next section discusses Python’s robust and intelligent tools for handling data. The following two sections discuss versatile tools for Python-Excel integration, enabling you to manipulate, format, and protect Excel files to generate reports. It will also help you replace VBA with Python code, interacting with legacy macros, or developing custom Excel functions to simplify workflow.<br><br>

Whether you are a data professional versed in Python or a seasoned Excel user, this book will arm you with tools to harness Python's potential and Excel’s convenience. Combining the strengths of both Python and Excel will allow you to build scalable workflows that are accessible to everyone, whether you start in Excel or Python.
<p></p>

<b>What you will learn</b><br/>
? Set up Python and manage environment for reproducibility.<br>
? Python fundamentals and programming basics.<br>
? Clean, transform, and analyze Excel data efficiently with pandas and other libraries.<br>
? Read, write, and format Excel files programmatically.<br>
? Build consistent reports and dashboards with automated scripts.<br>
? Use openpyxl, xlsxwriter, pyxlsb and xlwings for Excel integration.<br>
? Interact with Excel directly with Python via COM object or AppleScript.<br>
? Apply best practices for reliable, scalable Excel automation solutions.<br>
<p></p>

<b>Who this book is for</b><br>
This book is designed for Excel users, professionals, analysts, students, or anyone eager to leverage Python for automating, analyzing, and managing Excel spreadsheets efficiently. It will also help Python programmers and data scientists, communicating with stakeholders and business executives, who are interested in Excel, to deploy deliverables powered by Python with Excel as a front-end.
<p></p>

<b>Table of Contents</b><br>
1. Python for Excel Users<br>
2. Setting Up Python<br>
3. Python Fundamentals<br>
4. External Packages and Date-time Handling<br>
5. Automating File Management with Python<br>
6. Data Manipulation with Pandas<br>
7. Smart Tools for Faster Analysis<br>
8. Unlocking Excel with openpyxl<br>
9. Core Excel Read-Write Tools in Python<br>
10. Transitioning to xlwings for Excel Automation<br>
11. Running Python Code from Excel<br>
12. Advanced Automation with xlwings<br>
13. Python Excel Integration Limits and Vision<br>
Appendix: Python Charts for Business Analysis
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Le cours de biologie cellulaire et moléculaire Ed. 5 ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980798</link>
            <description><![CDATA[
            Auteur : Boujard, Daniel<br/> 
            Editeur : Dunod<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980798"><img src="https://static.cyberlibris.com/books_upload/300pix/9782100898466.jpg" /></a></p>
            <p><p>Cet ouvrage fait la synth&egrave;se en 200 fiches des concepts fondamentaux en biologie cellulaire et mol&eacute;culaire. La pr&eacute;sentation est adapt&eacute;e aux besoins des &eacute;tudiants pr&eacute;parant un examen ou un concours :<br />&bull;des fiches synth&eacute;tiques pour comprendre ;<br />&bull;des QCM pour s&rsquo;&eacute;valuer.<br />Cette nouvelle &eacute;dition a &eacute;t&eacute; enti&egrave;rement revue et comporte de nouveaux QCM.</p></p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Human Factors in Cybersecurity : Building security cultures that put people at the center (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980649</link>
            <description><![CDATA[
            Auteur : Ventura , L S<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980649"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378548055.jpg" /></a></p>
            <p><b>Description</b><br>
Cybersecurity breaches overwhelmingly succeed because of human behavior, not technical failure. With 95% of incidents traced to human factors, organizations urgently need approaches that go beyond technology to build genuine security cultures rooted in psychology, trust, and behavioral science.<br><br>

This book covers cognitive biases that make phishing effective, the true cost of human error, spaced learning and awareness program design, human-centered incident response under pressure, Zero Trust identity and access management, behavioral analytics and insider threat detection, adaptive security culture across multi-cloud environments, measuring cultural change with dual metrics, building resilient security teams, and personality and demographic risk profiling.<br><br>

By the end of this book, security leaders, awareness professionals, and CISOs will be equipped to design, measure and sustain security cultures that treat people as the strongest link in their security chain, not the weakest.
<p></p>

<b>What you will learn</b><br/>
? Understand cognitive biases that attackers exploit in social engineering.<br>
? Design spaced learning programs that sustain behavior change.<br>
? Build human-centered incident-response teams under pressure.<br>
? Implement Zero Trust with proportionate, people-first friction.<br>
? Measure security culture using quantitative and qualitative metrics.<br>
? Apply behavioral analytics ethically with privacy by design.<br>
? Develop resilient, neuroinclusive, and burnout-resistant teams.
<p></p>

<b>Who this book is for</b><br>
This book is for CISOs, security awareness managers, security culture leads, HR professionals supporting security programs, IT directors, and risk managers who want to move beyond compliance-driven training and build genuine organizational resilience through human-centered approaches.
<p></p>

<b>Table of Contents</b><br>
1. Psychology of Cyber Vulnerabilities<br>
2. Cost of Human Error in Cybersecurity<br>
3. Building Security Aware Workforces<br>
4. Human-centered Incident Response<br>
5. Zero Trust for People and Processes<br>
6. Behavioral Analytics and Risk Profiling<br>
7. AI-driven Human Defense<br>
8. Measuring Security Culture and Behavioral Change<br>
9. Building Resilient Security Teams<br>
10. Behavioral Patterns and Risk Factors
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Web Automation with Playwright and Python using AI and MCP : Playwright and Python with AI for end-to-end, API, visual, and accessibility testing (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980647</link>
            <description><![CDATA[
            Auteur : Pathak, Kailash<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980647"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378543173.jpg" /></a></p>
            <p><b>Description</b><br>
Playwright has quickly become the go-to choice for modern web automation due to its speed, reliability, and cross-browser support, especially when paired with the simplicity of Python. The purpose of this book is to provide a simple, practical, and complete guide to modern test automation using Playwright and Python, enhanced with AI capabilities.<br><br>

The book introduces Playwright and Python fundamentals, guiding readers through initial test scripts using Pytest and AI assistance. It details web element interactions, assertions, and advanced handling techniques for complex scenarios. Readers will master reporting, annotations, and debugging using Playwright tools and AI support. The text emphasizes robust architecture through the Page Object Model, fixtures, and BDD integration. Beyond UI testing, it explores API, accessibility, and visual validation enhanced by Generative AI. This book explores functional testing with AI-powered tools and examines how the MCP and agents enable intelligent, context-aware automation for modern, scalable testing ecosystems.<br><br>

By the end of this book, readers will learn about Playwright cheat sheet and interview questions to reinforce learning and support career growth. It aims to simplify complex concepts and equip readers with the skills needed to build reliable, scalable, and future-ready automation solutions.
<p></p>

<b>What you will learn</b><br/>
? Writing testing scripts for end-to-end, functional, API, accessibility, and visual tests.<br>
? Handle complex UI elements like iframes, alerts, and drag-drop.<br>
? Debug tests using Playwright features like Codegen, Inspector, UI mode, and Trace Viewer.<br>
? Implementing Cucumber/BDD, POM, and CI/CD pipeline integration with Playwright.<br>
? Integrate CI/CD pipelines with parallel and cloud test execution using TestMu AI and BrowserStack.<br>
? Use MCP and Playwright agents for intelligent test automation.
<p></p>

<b>Who this book is for</b><br>
This book is ideal for QA engineers, testers, developers, web developers, product owners, and anyone interested in modern test automation. Ideal for beginners and professionals who want to learn Playwright, Python, AI tools, MCP, and CI/CD to build scalable, efficient, and future-ready testing solutions.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Playwright and Python<br>
2. Write First Script with Playwright and AI<br>
3. Elements Interaction and Assertions<br>
4. Advanced Elements Handling<br>
5. Reports, Assertion, and Annotations in Playwright<br>
6. Debugging with Playwright and AI Tools<br>
7. Page Object Model, Pytest Fixtures, and AI Integrations<br>
8. Behavior-driven Development Integration with Playwright<br>
9. API Testing with Playwright and AI-powered Tool<br>
10. Accessibility Testing with Playwright<br>
11. Visual testing with Playwright and Generative AI<br>
12. CI/CD Integration and Serial, Parallel Test Execution with Playwright<br>
13. Cloud Execution and Scaling with Playwright<br>
14. Functional Testing with AI-powered Testing Tools<br>
15. MCP and Playwright Agent for Automation<br>
16. Playwright Cheat Sheet and Interview Questions<br>

</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Mastering Adobe Photoshop 2026 : Enhance your digital imagery skills with advanced photo editing and visual design workflows ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88976916</link>
            <description><![CDATA[
            Auteur : Bradley, Gary<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88976916"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806021703.jpg" /></a></p>
            <p><p><b>Work on real projects to master AI retouching, Generative Fill, Harmonize tool and more. Build real skills fast.

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* </b></p><h4>Key Features</h4><ul><li>Learn with a fully illustrated, full-color guide</li><li>Create professional visuals for print, web, social, and brand assets</li><li>Upgrade your workflow with AI-powered, non-destructive editing</li><li>Practice with downloadable project files for every hands-on example</li></ul><h4>Book Description</h4>Adobe Photoshop continues to evolve and so should your skills. Written by Adobe Certified Expert Gary Bradley, Mastering Adobe Photoshop 2026 is the definitive guide for designers, marketers, and visual content creators looking to upgrade their editing capabilities with Adobe’s latest tools and features. Whether you’re refining product shots, creating print collateral, or animating social media visuals, this second edition delivers an expertly structured approach that blends professional techniques with hands-on practice.
Structured into four progressive parts, the book builds your skills from interface mastery and healing tools to branding mock-ups, video shorts, and surrealist artwork. This edition goes beyond basic image editing by teaching advanced workflows like non-destructive retouching, seamless masking, batch automation, and content creation optimized for multiple platforms. Two brand-new chapters help you embrace the future of image editing by exploring AI-powered retouching with Adobe Firefly and the latest updates and new features from Adobe MAX.
By the end of this book, you’ll have complete command over Photoshop’s powerful feature set, allowing you to craft stunning visuals that impress clients, employers, and online audiences alike.

*Email sign-up and proof of purchase required <h4>What you will learn</h4><ul><li>Create advanced mock-ups using smart objects and branding workflows</li><li>Master retouching, recoloring, and content-aware edits non-destructively</li><li>Use AI-enhanced tools for image generation, background edits, and retouching</li><li>Design and automate high-volume social media content for multiple platforms</li><li>Animate titles, GIFs, and videos using Photoshop's timeline and frame tools</li><li>Develop immersive visuals using brushes, textures, gradients, and effects</li><li>Blend, collage, and compose surrealist artworks with professional finesse</li></ul><h4>Who this book is for</h4><p>This book is ideal for digital designers, content creators, social media managers, marketing professionals, and photographers who already have a foundational understanding of Photoshop and want to enhance their skills. If you're producing content for print, screen, or social media and want to save time while achieving exceptional quality, this book is for you.</p></p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ The Definitive Guide to Microsoft Fabric : From discovery to building a unified, secure, and scalable data platform ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88976729</link>
            <description><![CDATA[
            Auteur : Maneu, Christopher<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88976729"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806698783.jpg" /></a></p>
            <p><p><b>Master Microsoft Fabric from basics to advanced architectures with expert guidance to unify, secure, and scale analytics on real-world data platforms</b></p><h4>Key Features</h4><ul><li>Build a complete data analytics platform with Microsoft Fabric</li><li>Apply proven architectures, governance, and security strategies</li><li>Gain real-world insights from five seasoned data experts</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Microsoft Fabric is reshaping how organizations manage, analyze, and act on data by unifying ingestion, storage, transformation, analytics, AI, and visualization in a single platform.
The Definitive Guide to Microsoft Fabric takes you from your very first workspace to building a secure, scalable, and future-proof analytics environment. You’ll learn how to unify data in OneLake, design data meshes, transform and model data, implement real-time analytics, and integrate AI capabilities. The book also covers advanced topics, such as governance, security, cost optimization, and team collaboration using DevOps and DataOps principles. Drawing on the real-world expertise of five seasoned professionals who have built and advised on platforms for startups, SMEs, and Europe’s largest enterprises, this book blends strategic insight with practical guidance.
By the end of this book, you’ll have gained the knowledge and skills to design, deploy, and operate a Microsoft Fabric platform that delivers sustainable business value.<h4>What you will learn</h4><ul><li>Understand Microsoft Fabric architecture and concepts</li><li>Unify data storage and data governance with OneLake</li><li>Ingest and transform data using multiple Fabric tools</li><li>Implement real-time analytics and event processing</li><li>Design effective semantic models and reports</li><li>Integrate AI and machine learning into data workflows</li><li>Apply governance, security, and compliance controls</li><li>Optimize performance and costs at scale</li></ul><h4>Who this book is for</h4><p>This book is for data engineers, analytics engineers, architects, and data analysts moving into platform design roles. It’s also valuable for technical leaders seeking to unify analytics in their organizations. You’ll need only a basic grasp of databases, SQL, and Python.</p></p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Data Cleaning and Exploration with Machine Learning : A practical guide to machine learning and data exploration with Python and Scikit-learn (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88977349</link>
            <description><![CDATA[
            Auteur : Rao Dockara, Tirupathi<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88977349"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365892192.jpg" /></a></p>
            <p><b>Description</b><br>
Machine learning has become central to how organizations handle data in today’s world. With businesses generating vast amounts of information, the ability to clean, explore, and model data effectively is no longer optional, it is a critical skill for decision-making, innovation, and competitive advantage.<br><br>

This book takes readers on a structured journey, starting with Python foundations and essential libraries. It discusses data cleaning, preprocessing, and exploratory analysis, and then explores text and time series data, dimensionality reduction, regression, classification, and clustering techniques. Advanced topics such as model evaluation, neural networks, deep learning, retrieval-augmented generation, and explainable AI are covered in detail, which are supported by real-world examples and case studies. Each chapter builds progressively, ensuring both theoretical grounding and practical application, and vital industry practices.<br><br>

By the end of the book, readers will be equipped with the skills to handle raw datasets, uncover patterns, build and evaluate ML models, and apply advanced techniques responsibly. You will be confident in applying these methods to solve problems in their domains, making yourself a competent data practitioner, ready to deliver insights and drive impact.
<p></p>

<b>What you will learn</b><br/>
? Understand Python foundations and essential data science libraries.<br>
? Apply data cleaning methods to handle missing or noisy data.<br>
? Perform exploratory data analysis using statistics and visualization.<br>
? Work with text, time-series, and high-dimensional datasets.<br>
? Build regression, classification, and clustering ML models.<br>
? Evaluate models with metrics, validation, and hyperparameter tuning.<br>
? Explore neural networks, deep learning, and explainable AI techniques.<br>
? Implement real-world case studies and capstone data projects.
<p></p>

<b>Who this book is for</b><br>
This book is for data analysts, data scientists, ML engineers, and business professionals who want to strengthen their skills in data preparation and modeling. It is also valuable for students, researchers, and software developers aiming to apply ML techniques effectively in real-world projects.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Data Science and Machine Learning<br>
2. Setting Up Your Development Environment<br>
3. Introduction to Integrated Development Environments<br>
4. Exploring Essential Python Libraries<br>
5. Introduction to Data Cleaning<br>
6. Exploratory Data Analysis Made Easy<br>
7. Demystifying Data Preprocessing from Raw to Refined<br>
8. Unraveling Insights from Text and Time Series Data<br>
9. Dimensionality Reduction Techniques<br>
10. Building Regression Models for Confident Predictions<br>
11. Supervised Learning for Developing Classification Models<br>
12. Discovering Hidden Patterns with Clustering Techniques<br>
13. Ensuring Model Reliability Through Evaluation<br>
14. Techniques and Applications of RAG Pipelines<br>
15. Fine-tuning and Evaluating Base LLMs<br>
16. Putting It All Together with Case Studies<br>
17. Best Practices and Tips from Industry Experts<br>
18. Conclusion and Further Resources
</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Façades végétalisées : Conception, mise en œuvre, entretien et maintenance Ed. 1 ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88978672</link>
            <description><![CDATA[
            Auteur : Lassalle, François<br/> 
            Editeur : CSTB<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88978672"><img src="https://static.cyberlibris.com/books_upload/300pix/9782868917744.jpg" /></a></p>
            <p>
          <p>La végétalisation des façades est un marché appelé à progresser car il répond à la volonté de déployer la végétation en ville aussi largement que possible, et de répondre aux enjeux du changement climatique. Ce guide dresse un panorama des différentes possibilités actuelles permettant de végétaliser les structures verticales extérieures. A côté des réalisations exemplaires de Patrick Blanc (végétalisation verticale par nappes continues ou mur végétal), on trouve dans ce guide les solutions modulaires, désormais dénommées bardage rapporté végétalisé (BRV). Celles-ci enrichissent les possibilités de végétalisation verticale, entre autres par leur adaptation à des surfaces morcelées (ouvertures, bandeaux horizontaux ou verticaux…). On trouvera également dans cet ouvrage un chapitre consacré aux plantes grimpantes et à leurs supports de développement adaptés ainsi qu'une section traitant de la colonisation verticale spontanée. Pour chaque solution, l'auteur détaille la mise en oeuvre, aide au choix des espèces, conseille sur l'entretien des plantes et sur la maintenance des supports et des systèmes d'irrigation. La cadre réglementaire, en cours d'évolution, est rappelé en fin d'ouvrage.</p>
        </p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Blender for Beginners Part 1 : A reference guide to 3D modeling, shading, and animating workflows with Blender 4.5 LTS ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88976738</link>
            <description><![CDATA[
            Auteur : (Neil Ian Bettison), 3D Tudor<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88976738"><img src="https://static.cyberlibris.com/books_upload/300pix/9781837636648.jpg" /></a></p>
            <p><p><b>Build real-world skills as you create top-tier animations and 3D models with professional lighting and camera setups, turning theory into a portfolio-worthy showcase

Please note: the Kindle version combines Parts 1 and 2 of the book</b></p><h4>Key Features</h4><ul><li>Learn 3D modeling fundamentals in Blender from an expert team of tutors who’ve taught over 250,000 students worldwide</li><li>Understand the core principles that make animation, lighting, and camera work come to life</li><li>Start with the basics and build your skills through a series of projects to create a complex world</li></ul><h4>Book Description</h4>Blender for Beginners Part 1 is your hands-on visual introduction to Blender, brought to you by the educators at 3D Tudor, who’ve helped over 250,000 students worldwide master 3D design. Starting Blender can feel daunting, but this first part makes it approachable. You’ll develop smart habits and clean workflows to keep projects organized. From setting up a readable interface and clean navigation to mastering reliable modeling tools that create shading-friendly results, every lesson builds your foundation as a confident 3D artist.
Through easy-to-follow exercises, you’ll learn how to install Blender, navigate key menus and viewport modes, and use essential tools like Extrude, Bevel, and Loop Cut. You’ll build small assets and understand why seams, sharps, normals, and pivots matter for clean surfaces and predictable shading. Neil adds a touch of British humor that will keep you engaged throughout, even as you unwrap UVs using seams and projections, measure texel density, and explore trim sheets and UDIM basics. With principled PBR materials and Node Wrangler shortcuts, you’ll progress from flat clay to believable surfaces. Everything is taught step by step, with keystroke callouts and definitions.
By the end of this part, your models will look great under lighting, your topology will behave, and your files will be ready for 3D animation—setting you up for Geometry Nodes, rendering, and compositing in Part 2.
*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Customize Blender for speed by clearing workspaces, overlays, the Status Bar, and Outliner filters</li><li>Model with precision using Extrude, Inset, Bevel, Loop Cut, Knife, Spin, Slide, Shear, and Rip</li><li>Produce shading-friendly topology with bridges, fills, smoothing, Auto Smooth, and sharps</li><li>Shape faster with curves, modifiers, lattices, and constraints and stay non-destructive</li><li>Keep meshes clean with selections, transforms, normals, naming, and file organization</li><li>Build principled PBR materials with Node Wrangler and Ambient Occlusion helpers</li></ul><h4>Who this book is for</h4><p>If you’re a video game enthusiast looking to gain experience in 3D modeling, 3D rendering, game design, and animation for game props, assets, and environments, this Blender book is for you. It’s ideal for character artists, game designers, motion graphics designers, animators, environment artists, and other technical artists. No prior Blender experience is required, but a general understanding of digital art concepts will help you get the most out of this book.</p></p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Intégrer l’X ou l’école d’ingénieurs de tes rêves avec Les Sherpas : Classes prépas scientifiques MPSI - PCSI - PTSI - MPI - MP - PC - PSI - PT -BCPST Ed. 3 ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980833</link>
            <description><![CDATA[
            Auteur : Les Sherpas<br/> 
            Editeur : Vuibert<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980833"><img src="https://static.cyberlibris.com/books_upload/300pix/9782311220728.jpg" /></a></p>
            <p><p>Performer et faire la diff&eacute;rence en pr&eacute;pas scientifiques et aux concours avec les Sherpas ! Toutes les techniques d'organisation et les astuces pour g&eacute;rer son temps et faire grimper ses notes. &Agrave; jour des derni&egrave;res tendances organisationnelles et feedbacks d'&eacute;l&egrave;ves apr&egrave;s 4 ans de r&eacute;forme des programmes. Port&eacute; par trois anciens &eacute;tudiants en pr&eacute;pas qui se sont hiss&eacute;s dans les tops concours et maintenant fondateurs du blog-m&eacute;dia &eacute;tudiant &laquo; les Sherpas &raquo; (1 million de lecteurs en septembre 2023), ce livre int&egrave;gre toutes les m&eacute;thodes de travail, hacks et astuces pour performer durant les deux ann&eacute;es de classes pr&eacute;paratoires scientifiques et assurer les meilleurs classements. Test&eacute;es, &eacute;prouv&eacute;es, approuv&eacute;es par toute la communaut&eacute; Sherpas, ces m&eacute;thodes &laquo; sp&eacute;ciales Pr&eacute;pas &raquo; vous permettront d'optimiser votre niveau, votre organisation de travail et surtout vos notes ! Ce livre int&egrave;gre &eacute;galement plus de 40 outils interactifs et num&eacute;riques (vid&eacute;os, planning &agrave; personnaliser, playlists de travail...) pour s'approprier les m&eacute;thodes propos&eacute;es. Laissez-vous guider par cette nouvelle &eacute;dition enrichie de nouvelles m&eacute;thodes et de retours d'exp&eacute;riences d'&eacute;l&egrave;ves.</p></p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ L’agriculture sénégalaise : 2000-2020 ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980876</link>
            <description><![CDATA[
            Auteur : Diop, Ismaïla<br/> 
            Editeur : L&#039;Harmattan<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980876"><img src="https://static.cyberlibris.com/books_upload/300pix/9782336423418.jpg" /></a></p>
            <p>Les politiques agricoles des présidents Wade et Sall ont été, respectivement, des réponses palliatives aux changements climatiques et aux chocs de la pandémie du Covid-19 et de la guerre russo-ukrainienne. En dépit des investissements massifs consentis, elles n’ont pas permis de relever le défi de sortie du modèle agricole colonial pluvial arachidier, à l’instar de celles qui les ont précédées. Pour sortir de cette impasse, il faut promouvoir l’énergie solaire villageoise, source de maîtrise de l’eau, en vue de bâtir des exploitations agricoles familiales modernes génératrices de souveraineté alimentaire, moteur de croissance, de développement économique et de progrès social, dispensatrices d’emplois et de revenus décents et durables.</p>
            ]]></description>
            <pubDate>2026-06-17T08:00:01.563</pubDate>
        </item>
                <item>
            <title><![CDATA[ Offensive Automotive Cybersecurity : An engineering handbook for exploiting modern automotive platforms ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980810</link>
            <description><![CDATA[
            Auteur : Nasser, Dr. Ahmad Mk<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980810"><img src="https://static.cyberlibris.com/books_upload/300pix/9781836648628.jpg" /></a></p>
            <p><p><b>A comprehensive guide to automotive offensive security breaking down real-world exploitation starting from the vehicle backend, through high-performance ECUs down to the edge sensors to bridge the gap between defensive engineering and offensive security techniques.</b></p><h4>Key Features</h4><ul><li>Understand how security weaknesses throughout the vehicle architecture enable exploitation</li><li>Analyze real-world exploits on vehicle systems to get started with practical vehicle penetration testing</li><li>Design resilient systems by adopting a proactive offensive mindset while applying an AI-enabled secure engineering lifecycle</li></ul><h4>Book Description</h4>Offensive Automotive Cybersecurity is your practical guide to understanding how modern automotive vulnerabilities are exploited—so you can build resilient defenses against proven attack methods.
As vehicles evolve into software-defined systems, their expanding attack surface increases exposure to sophisticated threats. This book examines the entire connected vehicle ecosystem—from cloud backends and wireless protocols to in-vehicle networks, HPCs, ECUs, and physical sensors—through an offensive security lens.
Through a blend of theory and reviewing practical examples, you will learn to execute the full penetration testing lifecycle, encompassing active and passive reconnaissance, firmware reverse engineering, and the construction of complex attack chains. The book provides hands-on insights into exploiting memory corruption bugs in HPCs, abusing diagnostic protocols, and leveraging hardware-level vulnerabilities such as fault injection and side-channel leakage. These techniques are brought to life through detailed real-world case studies, including remote takeovers and exploits of well-known vehicle platforms.
By the end of this book, you’ll be able to think like an adversary, uncover hidden risks before attackers do, apply secure-by-design principles, and implement layered defenses to reduce exploitable weaknesses.<h4>What you will learn</h4><ul><li>Explore the various layers of the vehicle architecture and their exploitable weaknesses</li><li>Deconstruct real-world attack chains and understand attack patterns</li><li>Explore advanced techniques to uncover security weaknesses in your system</li><li>Learn how high-performance ECUs and modern vehicle architectures create new attack surfaces</li><li>Apply Secure by Design principles for building resilient vehicle security that is suitable for real-world threats</li><li>Learn how offensive AI changes attacker economics and why defensive AI restores equilibrium against adversaries</li></ul><h4>Who this book is for</h4><p>This book is for cybersecurity professionals, automotive engineers, security testers, and researchers who want to understand and exploit vulnerabilities in modern vehicle systems. If you focus on building defenses but question whether those defenses can withstand real-world attacks, then this book is for you. It is especially valuable for practitioners seeking advanced offensive techniques to better secure their systems against emerging threats. You should have a basic understanding of cybersecurity, embedded systems, and networking concepts.</p></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ AI and Cloud Native Software Engineering : Building enterprise-scale cloud-native applications with AI-integrated software engineering workflows (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980635</link>
            <description><![CDATA[
            Auteur : Raj Chelliah, Dr. Pethuru<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980635"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378540479.jpg" /></a></p>
            <p><b>Description</b><br>
Artificial intelligence is the driving force behind the next generation of software, transforming how we build, deploy, and manage cloud-native applications. This book explores the powerful convergence of artificial intelligence, machine learning, and cloud-native software engineering, offering readers a practical understanding of how modern technologies are transforming software development. It highlights how AI-driven approaches are enhancing productivity, improving decision-making, and enabling smarter, scalable systems.<br><br>

Readers will gain insights into how artificial intelligence empowers software engineering practices, including intelligent automation, predictive analytics, and improved software quality. The book also covers emerging areas such as generative AI for source code creation and advanced AI tools that assist developers in writing, optimizing, and maintaining code efficiently.<br><br>

By the end of this book, readers will possess a comprehensive roadmap for upgrading their technical skills and adapting to the rapid evolution of industry demands. Readers will be equipped to enhance their professional impact by strategically leveraging AI-enabled tools, accelerating development lifecycles, and building innovative, cloud-native applications with confidence.
<p></p>

<b>What you will learn</b><br/>
? Explore generative AI techniques for automated source code creation.<br>
? Learn popular AI tools for efficient software development processes.<br>
? Apply machine learning models to improve software quality assurance.<br>
? Design scalable applications using cloud-native architecture principles.<br>
? Enhance productivity with intelligent automation in coding practices.
<p></p>

<b>Who this book is for</b><br>
This book is for students, software developers, data scientists, cloud engineers, and IT professionals who want to integrate AI and ML into modern software development practices. It is also valuable for tech leads, researchers, and architects aiming to build scalable, intelligent, and cloud-native applications in evolving industry environments.
<p></p>

<b>Table of Contents</b><br>
1. Technical Perspective of AI for Ensuring Knowledge Era<br>
2. Empowering Software Engineering with Artificial Intelligence<br>
3. Artificial Intelligence for Application Modernization and Migration<br>
4. Generative and Agentic AI Principles and Practices for Accelerated Software Engineering<br>
5. Study on AI Tools That Can Generate Software Source Code<br>
6. AI-powered Tools to Enhance the Stages of Software Development<br>
7. AI for IT Infrastructure Resource Optimization<br>
8. AI and Workload Infrastructure Optimization<br>
9. Challenges of Using AI in Software Development<br>
10. Next-generation Developer Experience Enabled by AI<br>
11. Coding to Prompting an Agentic AI Revolution
</p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ C++ STL Cookbook : Master the latest STL features in C++23 and 26 with practical recipes for modern C++ development ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980812</link>
            <description><![CDATA[
            Auteur : Weinman, Bill<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980812"><img src="https://static.cyberlibris.com/books_upload/300pix/9781836204244.jpg" /></a></p>
            <p><p><b>This edition of C++ STL Cookbook features new recipes, updated best practices, and comprehensive coverage of the latest C++23, C++26 features. Perfect for intermediate to advanced developers looking to leverage modern C++ features and techniques. </b></p><h4>Key Features</h4><ul><li>Elevate your code with the latest C++23 strategies and techniques to solve complex programming challenges effectively</li><li>Learn about new features of C++26, and how to implement them.</li><li>Explore the proposed standardized library and how it integrates with existing C++ applications</li><li>Dive into the latest C++23 innovations such as enhanced ranges and advanced concurrency features with new and updated recipes</li></ul><h4>Book Description</h4>C++ STL Cookbook is a comprehensive guide that provides practical solutions for mastering the latest features of the C++23 Standard Template Library (STL) through hands-on recipes.  

Beginning with new features in C++23, this book will help you understand the language's updated mechanics and library features, and offer insights into how they work. Unlike other books, this cookbook takes an implementation-specific, problem-solution approach that will help you overcome hurdles quickly. You'll learn core STL concepts, such as containers, algorithms, utility classes, lambda expressions, iterators, and more, through specific real-world recipes.  

Building on the success of the first edition, this updated guide includes a new chapter dedicated to the latest features introduced in C++23, such as improved modules, refined ranges, and  coroutine-based generators. It also covers essential best practices for writing cleaner and more efficient code, including the use of coroutines, structured bindings, and std::span. 

Whether you're looking to deepen your understanding of the C++ STL or implement the latest features in your projects, this book provides valuable insights, clear and concise explanations and practical solutions to enhance your C++ programming skills.<h4>What you will learn</h4><ul><li>Write cleaner and more efficient code using modern C++ techniques</li><li>Implement and master the latest features introduced in C++23</li><li>Use the new standard library modules in C++23</li><li>Learn about new features of C++26, and how to implement them</li><li>Expand your use of ranges with new components and functionalities</li><li>Implement coroutines for more efficient concurrency</li><li>Employ braced initialization for safer and clearer object creation</li><li>Leverage std::span for enhanced safety with C-arrays</li></ul><h4>Who this book is for</h4><p>This book is for intermediate to advanced C++ programmers who want to get the most out of the Standard Template Library in C++23 and C++26, the latest versions of C++. Basic knowledge of coding and C++ concepts is necessary to get started with this book. </p></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ Information Security 360 : Securing enterprise networks, applications, and cloud native environments against modern cyber threats (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980644</link>
            <description><![CDATA[
            Auteur : Tripathi, Jitendra<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980644"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378549373.jpg" /></a></p>
            <p><b>Description</b><br>
Information is one of the most valuable assets in the hyperconnected digital world. While digital technologies create immense opportunities, they also introduce significant risks. Cyber threats have evolved in sophistication, speed, and scale, making the protection of information systems more critical than ever. Information security is a multidisciplinary field that encompasses the principles, technologies, and practices designed to protect information assets from theft, corruption, unauthorized access, and disruption.<br><br>

This book introduces the fundamental concepts of information security and explores key areas such as governance, risk management, and compliance that support effective security programs. Readers will learn how cryptography protects sensitive information, how identity and access management regulates user access, and how networks and systems are secured. The book also covers endpoint, application, and cloud security, security operations, and emerging technologies such as AI and quantum computing that are reshaping the cybersecurity landscape.<br><br>

By the end of this book, readers will have a strong understanding of information security fundamentals and their application in real-world environments. They will be equipped to evaluate security risks, apply protection strategies, and build a solid foundation for further study or professional practice in cybersecurity.
<p></p>

<b>What you will learn</b><br/>
? Understand the fundamental concepts and principles of information security.<br>
? Learn information security governance, risk management, and compliance practices.<br>
? Apply cryptographic techniques and access control mechanisms to protect sensitive data.<br> 
? Secure networks, applications, and cloud-native environments against modern cyber threats.<br>
? Manage security operations for effective monitoring, detection, and incident response.<br>
? Impact of AI and quantum computing on the future of cybersecurity.
<p></p>

<b>Who this book is for</b><br>
This book is intended for students and cybersecurity professionals seeking a strong foundation in information security. It will be particularly valuable for security engineers, security analysts, GRC professionals, network engineers, system administrators, information security managers, and aspiring or practicing CISOs.
<p></p>

<b>Table of Contents</b><br>
1. Information Security Fundamentals<br>
2. Threats and Vulnerabilities<br>
3. Security Governance, Risk Management, and Compliance<br>
4. Information Systems Audit<br>
5. Cryptography and Data Security<br>
6. Identity and Access Management<br>
7. Network Security<br>
8. Endpoint Security<br>
9. Application Security<br>
10. Security Operations<br>
11. Cloud Security<br>
12. Emerging Technologies and Information Security

</p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ Building Generative AI for Enterprise : A practical guide to developing GenAI systems to solve business problems (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980642</link>
            <description><![CDATA[
            Auteur : Rajadhyax, Devesh<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980642"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378541353.jpg" /></a></p>
            <p><b>Description</b><br>
Generative AI is transforming the corporate world, and understanding its core architecture is now essential for every tech professional. This book serves as a complete roadmap, guiding you from the theoretical foundations of transformer models to the successful deployment of production-ready AI systems.<br><br>

This book systematically covers the AI lifecycle, moving from transformer foundations and SOTA models like GPT-4o to advanced prompt engineering and fine-tuning with LoRA on Google Colab. You will progress through building RAG systems and Knowledge Graphs with LangChain, eventually developing autonomous agents using ReAct and LlamaIndex. Finally, the book details deploying scalable systems via FastAPI and Kubernetes while ensuring security through AI governance and Microsoft’s Responsible AI Toolbox.<br><br>

By the end of this book, you will have built real-world projects in healthcare and finance. This book equips practitioners with the skills and confidence needed to build, deploy, and enhance generative AI systems that are enterprise-ready and future-proof. 
<p></p>

<b>What you will learn</b><br/>
? Build end-to-end generative AI systems for enterprises.<br>
? Apply practical approaches to real-world AI projects.<br>
? Develop a strong understanding of AI models.<br>
? Master in-demand skills like advanced prompt engineering.<br>
? Implement retrieval-augmented generation for business data.<br>
? Solve concrete business problems using AI techniques.
<p></p>

<b>Who this book is for</b><br>
This book is for IT professionals, students, and enterprise data science teams aspiring to build AI systems. It requires basic Python programming knowledge, but no prior experience with machine learning is necessary, making it ideal for software engineers and aspiring architects. 
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Transformer Models<br>
2. The SOTA GenAI Models<br>
3. GenAI in Industry<br>
4. Prompt Engineering<br>
5. Fine-tuning Generative Models<br>
6. Enhancing GenAI with RAG<br>
7. Advanced RAG in Action<br>
8. Agentic Workflows<br>
9. Deploying GenAI Systems<br>
10. AI Governance and Ethics<br>
11. Future of Generative AI
</p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ Big Data Analytics with Hadoop and Spark : A hands-on guide to big data engineering and scalable analytics (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980637</link>
            <description><![CDATA[
            Auteur : Mehta, Shikha<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980637"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365894745.jpg" /></a></p>
            <p><b>Description</b><br>
Technologies like Hadoop and Spark, powered by the Cloudera platform, have become essential for storing, processing, and analyzing big data across various industries, including finance, healthcare, e-commerce, and research in today’s data-driven world.<br><br>

This book systematically navigates the entire ecosystem, starting with big data fundamentals, security, and HDFS architecture before mastering MapReduce through weather and stock data case studies. Readers will gain hands-on experience with the Cloudera framework, learning high-level scripting with Pig Latin and structured data warehousing using HiveQL’s Metastore and partitions. Additionally, it explores NoSQL versatility with HBase and MongoDB’s CAP theorem, followed by Scala programming and Spark’s high-speed in-memory engine. You will learn to optimize queries with the Catalyst optimizer and process complex Parquet or JSON files using Spark SQL DataFrames. The book also covers machine learning pipelines with spark.ml for professional-grade classification and clustering applications.<br><br>

By the end of this book, readers will be able to develop strong conceptual clarity and practical expertise in big data analytics. This will enable them to confidently design, implement, and manage scalable data processing solutions, preparing them to solve real-world data challenges and take on professional roles in big data engineering and analytics.
<p></p>

<b>What you will learn</b><br/>
? Understand big data concepts, architecture, ethics, and applications.<br>
? Build scalable storage using HDFS and MapReduce.<br>
? Perform data analysis using Pig and Hive.<br>
? Develop NoSQL solutions using HBase and MongoDB.<br>
? Process large datasets using Apache Spark.<br>
? Analyze data using Spark SQL and DataFrames.<br>
? Implement machine learning using PySpark.
<p></p>

<b>Who this book is for</b><br>
This book is ideal for students, researchers, and academicians. It empowers aspiring big data engineers, data scientists, and software engineers. Readers should possess basic programming knowledge and database fundamentals to master Hadoop and Spark for professional-grade data science and faculty-level instruction.
<p></p>

<b>Table of Contents</b><br>
1. Exploring Big Data<br>
2. Introduction to Hadoop<br>
3. Hadoop Distributed File System and MapReduce<br>
4. Big Data Analysis with Cloudera<br>
5. Stock Data Analysis with Cloudera<br>
6. Understanding Pig for Big Data Processing<br>
7. Operators in Pig Latin<br>
8. Functions in Apache Pig<br>
9. Hive-data Warehousing and SQL-like Queries<br>
10. Data Analysis Using Hive<br>
11. Data Storage and Processing Using HBase<br>
12. MongoDB<br>
13. Introduction to Spark for Big Data Processing<br>
14. Getting Started with Scala Programming<br>
15. Data Analysis with Spark SQL<br>
16. Machine Learning Application Using PySpark</p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ Programmer en Python avec ChatGPT Ed. 1 ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980499</link>
            <description><![CDATA[
            Auteur : Evelyn, Lydia<br/> 
            Editeur : Eyrolles<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980499"><img src="https://static.cyberlibris.com/books_upload/300pix/9782416024566.jpg" /></a></p>
            <p>
          <p><strong>Intégrez ChatGPT dans vos programmes Python !</strong></p>
<p>Dans ce livre, apprenez l’utilisation de ChatGPT et des API OpenAI pour créer des codes dynamiques et des applications intelligentes. Grâce à des explications progressives tout au long de l’ouvrage, les amateurs de code comme les développeurs aguerris trouveront de quoi enrichir leurs compétences.</p>
<p>De l’utilisation des API ChatGPT et OpenAI, en passant par l’authentification, l’envoi d’invites, la génération de réponses et la gestion des erreurs, vous consoliderez vos connaissances avec des fonctionnalités avancées. Cet ouvrage aborde également, la modification de la longueur des réponses générées, l’intégration du contexte dans les invites, la transcription audio et l’optimisation de l’utilisation de l’API jusqu’à la programmation d’un chatbot Discord intelligent.</p>
<p>À qui s’adresse cet ouvrage ?</p>
<ul>
	<li>Aux développeurs Python.</li>
	<li>Aux (futurs) développeurs en reconversion professionnelle.</li>
	<li>Aux étudiants, en informatique et autres spécialités, qui découvrent l’IA dans leur parcours académique.</li>
</ul>

        </p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ The Agentic Enterprise : Strategic frameworks for scaling autonomous agentic AI, enterprise ROI, and infrastructure (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980648</link>
            <description><![CDATA[
            Auteur : Kumar, Nitin<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980648"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378543708.jpg" /></a></p>
            <p><b>Description</b><br>
Agentic AI, which refers to autonomous systems that plan, reason, and execute across complex workflows, is no longer experimental. It is reshaping cost structures, customer experiences, and competitive hierarchies across every major industry. For executives, the question is no longer whether to act. It is whether to lead or be displaced.<br><br>

This book delivers the strategic frameworks, financial models, and industry battle plans executives need to move from experimentation to market leadership. It covers the shift from automation to true agency, ROI modeling for agentic investment, macroeconomic and workforce transformation, industry-native deployment templates across financial services, retail, healthcare, telecommunications, and manufacturing, and intelligent automation infrastructure design that helps market leaders succeed.<br><br>

By the end of this book, C-suite leaders will be equipped to assess organizational agentic maturity, build board-level investment cases, architect competitive infrastructure, and deploy autonomous AI as a compounding strategic advantage.
<p></p>

<b>What you will learn</b><br/>
? Optimizing multimodal streaming AI architectures.<br>
? Applying agent-native performance ROI metrics.<br>
? Build AI infrastructure that creates lasting competitive moats.<br>
? Managing national labor market disruptions.<br>
? Deploying 90-day strategic leadership sprints.<br>
? Executing sector-specific transformation battle plans.
<p></p>

<b>Who this book is for</b><br>
This book is for business executives, digital transformation leaders, enterprise architects, and AI/ML professionals looking to adopt AI agents to transform CX, operations, and ROI. Readers should be familiar with AI fundamentals; no deep coding is needed, but experience with APIs, cloud platforms, or LLM-based systems is helpful.
<p></p>

<b>Table of Contents</b><br>
1. From Automation to Agency<br>
2. Transforming Customer Experience Intelligence<br>
3. Building the Agentic Enterprise<br>
4. Driving Economic and Workforce Transformation<br>
5. Designing ROI and Business Cases<br>
6. Equipping Executives for Competitive Survival<br>
7. Architecting Intelligent Automation Infrastructure<br>
8. Executing Strategic Investment Playbooks

</p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ Physique. PCSI ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980565</link>
            <description><![CDATA[
            Auteur : Kourdi, Malik<br/> 
            Editeur : Ellipses<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980565"><img src="https://static.cyberlibris.com/books_upload/300pix/9782340116795.jpg" /></a></p>
            <p><p>Cette collection destinée aux étudiants de <strong>CPGE</strong> couvre <strong>l’intégralité du programme</strong> par matière et par filière. Elle est conçue pour proposer<strong> chaque semaine un devoir écrit d’une durée de 2h</strong> en moyenne avec les <strong>corrigés commentés</strong> en fin de livre.</p><p>Elle permet aux étudiants de gagner en autonomie, de <strong>décrypter </strong>un énoncé, de le <strong>relier </strong>aux notions apprises en cours et de gagner en <strong>rapidité </strong>et <strong>efficacité </strong>dans la résolution des exercices.</p><p><strong>Les plus</strong></p><ul><li>Une <strong>table thématique</strong> pour travailler les exercices dans le désordre</li><li>De <strong>nombreux conseils</strong> du professeur, des <strong>rappels de cours</strong></li><li>Des <strong>explications </strong>sur le déroulement de l’année</li><li>Des <strong>méthodes de travail</strong></li><li>Les <strong>astuces </strong>pour réussir son devoir et s'entraîner aux écrits des concours</li><li>Les <strong>mots-clés </strong>à connaître dans chaque notion</li></ul></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ The Platform Engineer's Handbook : Build secure, developer-focused platforms that streamline modern software delivery ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980814</link>
            <description><![CDATA[
            Auteur : Chankramath, Ajay<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980814"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806380121.jpg" /></a></p>
            <p><p><b>Deliver developer-friendly infrastructure with automation, AI acceleration, and real-world platform patterns all built from scratch on your laptop</b></p><h4>Key Features</h4><ul><li>Hands-on guide to designing, deploying, and evolving engineering platforms with real-world patterns</li><li>Focus on developer experience, enabling self-service, scalability, and AI augmentation from day one</li><li>Built for practitioners offering step-by-step, practical knowledge for shaping modern delivery</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>The Platform Engineer’s Handbook equips senior engineers and DevOps professionals to deliver developer-friendly infrastructure with automation, speed, AI acceleration, and intelligence. Starting with a blank slate, you’ll build a complete, modern platform that runs locally on your laptop, learning real-world patterns as you go.
In this handbook, you’ll follow a structured, progressive journey, beginning with source control governance and branching strategies, then deploying a Kubernetes-based runtime, embedding observability, and securing platform access. You’ll implement self-service onboarding, CI/CD as a service, and developer portals with Backstage. Later chapters introduce infrastructure blueprints, policy as code, FinOps observability, and AI-augmented platform services such as agent-based onboarding and copilots for pipeline creation.
Each chapter combines core concepts, lab-based exercises, and production-ready best practices to provide a comprehensive understanding of the subject matter. By the end, you'll have a working MVP platform and the skills to adapt and scale it for your team or organization.<h4>What you will learn</h4><ul><li>Build a scalable, developer-focused engineering platform MVP</li><li>Enable self-service onboarding and app deployment</li><li>Create golden paths with reusable CI/CD workflows</li><li>Scaffold new projects with portal-based starter kits</li><li>Automate secure access with OAuth and RBAC</li><li>Publish services to a centralized developer portal</li><li>Deliver platform features with AI-augmented tooling</li><li>Scale platform services without disrupting users</li></ul><h4>Who this book is for</h4><p>This book is intended for intermediate to senior software engineers and DevOps professionals with prior experience in cloud-native software development patterns and practices who are interested in learning how to build secure, scalable engineering platforms to accelerate software delivery and the why behind it.</p></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ Maths Méthodes et Exercices PC/PC*-PSI/PSI*-PT/PT* Ed. 5 ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980807</link>
            <description><![CDATA[
            Auteur : Monier, Jean-Marie<br/> 
            Editeur : Dunod<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980807"><img src="https://static.cyberlibris.com/books_upload/300pix/9782100898527.jpg" /></a></p>
            <p><p>LES M&Eacute;THODES&nbsp;</p>
<ul>
<li>Class&eacute;es par <strong>th&egrave;me du programme</strong>, 180 m&eacute;thodes vous sont&nbsp; expliqu&eacute;es par &eacute;tapes et illustr&eacute;es par 266&nbsp; exemples.&nbsp;</li>
<li>Chaque m&eacute;thode renvoie &agrave; plusieurs <strong>exercices d&rsquo;application</strong>.&nbsp;</li>
<li>214&nbsp; <strong>tests de cours</strong> sont r&eacute;partis dans chaque chapitre.&nbsp;</li>
</ul>
<p>LES EXERCICES&nbsp;</p>
<ul>
<li>Les exercices d&rsquo;application, au nombre de 445, sont <strong>tri&eacute;s par difficult&eacute;</strong>.&nbsp;</li>
<li>Ils couvrent l&rsquo;<strong>int&eacute;gralit&eacute; du programme</strong> de PC-PSI-PT.&nbsp;</li>
<li>Des indications &laquo; pour bien d&eacute;marrer &raquo; vous donnent un<strong> coup de pouce</strong>&nbsp; si vous avez du mal &agrave; r&eacute;soudre un exercice.&nbsp;</li>
<li><strong>Tous les exercices sont corrig&eacute;s</strong>, avec une r&eacute;daction compl&egrave;te.&nbsp;</li>
<li><strong>Des compl&eacute;ments en ligne</strong> vous donnent acc&egrave;s &agrave; des colles&nbsp; enti&egrave;rement corrig&eacute;es.&nbsp;</li>
</ul>
<p>&nbsp;</p></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ TPRM-Driven Supply Chain Cybersecurity : Connecting TPRM and supply chain security for operational resilience ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980808</link>
            <description><![CDATA[
            Auteur : Richardson, Eric<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980808"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806708109.jpg" /></a></p>
            <p><p><b>Align TPRM and cybersecurity, classify supply chain risks, build a lifecycle program, and map NIST C-SCRM, ISO/IEC 27036, DORA, GDPR, and EO 14028 to evidence and audits.</b></p><h4>Key Features</h4><ul><li>Align procurement, legal, and security priorities around shared risk outcomes</li><li>Apply a clear taxonomy for cyber, operational, regulatory, and reputational risk</li><li>Use a lifecycle blueprint to structure assessment and ongoing oversight</li><li>Map NIST C-SCRM, ISO/IEC 27036, DORA, and EO 14028 to audit evidence</li></ul><h4>Book Description</h4>Modern organizations rely on complex vendor ecosystems, but third-party risk management (TPRM) and cybersecurity often operate in silos. This book shows how to connect vendor risk management with supply chain cybersecurity using a practical, lifecycle-driven approach.
You’ll design a program covering onboarding, vendor risk assessment, continuous monitoring, and offboarding. You’ll begin by examining why TPRM and cybersecurity often operate in separate lanes, and what that gap costs in downtime, breach impact, and compliance exposure. Next, you’ll develop a modern taxonomy of supply chain risk, including fourth-party dependencies and software supply chain concerns, so risk discussions use consistent categories and measurable assumptions.
From there, you’ll adopt a lifecycle-based model to structure vendor onboarding, assessment, monitoring, and offboarding—supported by vendor tiering, segmentation, and control mapping. The final chapter focuses on the regulatory blueprint: how to interpret NIST C-SCRM, ISO/IEC 27036, DORA, GDPR, and Executive Order 14028, then convert them into evidence-driven controls and audit-ready documentation.
<h4>What you will learn</h4><ul><li>Learn how vendor ecosystems become attack paths</li><li>Categorize third- and fourth-party supply chain risks</li><li>Create risk tiers and segmentation based on business impact</li><li>Design a lifecycle workflow from onboarding to offboarding</li><li>Select controls using NIST and ISO supply chain guidance</li><li>Translate DORA, GDPR, and EO 14028 duties into controls</li><li>Prepare evidence packs for audits and regulator questions</li><li>Plan continuous monitoring beyond annual questionnaires</li></ul><h4>Who this book is for</h4><p>This book is for cybersecurity leaders, TPRM/VRM practitioners, risk managers, and procurement professionals who need a repeatable way to evaluate and monitor vendors and critical suppliers. It also helps compliance stakeholders who need a shared, workable method to manage supplier cyber exposure. Basic familiarity with security principles and vendor management helps.</p></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ ServiceNow Certified System Administrator Certification Guide : System administering ServiceNow for managing ITSM, automating workflows, and application configuration for different industries (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980622</link>
            <description><![CDATA[
            Auteur : G Embuswamy, MageshKumar<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980622"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365894868.jpg" /></a></p>
            <p><b>Description</b><br>
ServiceNow is an automation platform started with the streamlining of incidents, problems, requests, and changes in industries. It provided a comprehensive platform to handle all the tickets with automated workflows embedded with a database to store and review the details of tickets, as needed by professionals and by companies. Presently, it caters to many industries with modules focusing on IT, CRM, risk, security, employee experience, and application development solutions.<br><br>

This guide begins with Next Experience UI Navigation and instance configuration, including user roles and group management. You will master application collaboration through lists, forms, and Visual Task Boards, while learning to manage mobile workflows via Now Mobile and Agent Mobile. The book explains automation using Flow Designer, Virtual Agent, and SLA definitions, alongside performance monitoring and upgrade history. You will dive deep into database management, covering CMDB/CSDM, import sets, and transform maps. The technical journey concludes with UI and data policies, client/server scripting, and secure access using ACLs for table protection, all managed via system update sets.<br><br> 

By the end of the book, you will be professionally competent to handle complex administrative tasks and confidently clear the CSA exam. You will possess a practical understanding of the ServiceNow ecosystem, ready to implement secure, automated, and efficient solutions in any real-world business environment.
<p></p>

<b>What you will learn</b><br/>
? Get started with ServiceNow administration and set up your ServiceNow instance.<br>
? Understand about installing plugins, configuring lists and forms.<br>
? Get started with configuring ServiceNow Reporting and Dashboards.<br>
? Understand the various components of ServiceNow such as Flow Designer, Virtual Agent (chat bot), Service Catalog and apply it for business applications.<br>
? Passing the CSA ServiceNow certification as the entry point to ServiceNow technology in your career.
<p></p>

<b>Who this book is for</b><br>
This book will target software professionals, developers, and IT administrators, this book requires no prior ServiceNow experience. It serves as the ideal entry point for those pursuing CSA certification to master low-code automation and build modern applications across various enterprise domains.
<p></p>

<b>Table of Contents</b><br>
1. CSA Platform Overview and Navigation<br>
2. CSA Instance Configuration<br>
3. Configuring Applications for Collaboration<br>
4. Self-service and Automation<br>
5. Database Management<br>
6. Data Migration and Integration<br>
7. Case Studies CSA<br>
8. ServiceNow CSA Practice Exams<br>
9. Summing Up and Future Trends

</p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ Informatique. MPSI-PCSI-PTSI ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980572</link>
            <description><![CDATA[
            Auteur : Arrigoni, Olivier<br/> 
            Editeur : Ellipses<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980572"><img src="https://static.cyberlibris.com/books_upload/300pix/9782340116832.jpg" /></a></p>
            <p><p>Cette collection destinée aux étudiants de <strong>CPGE</strong> couvre <strong>l’intégralité du programme</strong> par matière et par filière. Elle est conçue pour proposer<strong> chaque semaine un devoir écrit d’une durée de 2h</strong> en moyenne avec les <strong>corrigés commentés</strong> en fin de livre.</p><p>Elle permet aux étudiants de gagner en autonomie, de <strong>décrypter </strong>un énoncé, de le <strong>relier </strong>aux notions apprises en cours et de gagner en <strong>rapidité </strong>et <strong>efficacité </strong>dans la résolution des exercices.</p><p><strong>Les plus</strong></p><ul><li>Une <strong>table thématique</strong> pour travailler les exercices dans le désordre</li><li>De <strong>nombreux conseils</strong> du professeur, des <strong>rappels de cours</strong></li><li>Des <strong>explications </strong>sur le déroulement de l’année</li><li>Des <strong>méthodes de travail</strong></li><li>Les <strong>astuces </strong>pour réussir son devoir et s'entraîner aux écrits des concours</li><li>Les <strong>mots-clés </strong>à connaître dans chaque notion</li></ul></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ Mathématiques. MP/MP* ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980571</link>
            <description><![CDATA[
            Auteur : Bailleul, Maxime<br/> 
            Editeur : Ellipses<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980571"><img src="https://static.cyberlibris.com/books_upload/300pix/9782340116733.jpg" /></a></p>
            <p><p>Cette collection destinée aux étudiants de <strong>CPGE</strong> couvre <strong>l’intégralité du programme</strong> par matière et par filière. Elle est conçue pour proposer<strong> chaque semaine un devoir écrit d’une durée de 2h</strong> en moyenne avec les <strong>corrigés commentés</strong> en fin de livre.</p><p>Elle permet aux étudiants de gagner en autonomie, de <strong>décrypter </strong>un énoncé, de le <strong>relier </strong>aux notions apprises en cours et de gagner en <strong>rapidité </strong>et <strong>efficacité </strong>dans la résolution des exercices.</p><p><strong>Les plus</strong></p><ul><li>Une <strong>table thématique</strong> pour travailler les exercices dans le désordre</li><li>De <strong>nombreux conseils</strong> du professeur, des <strong>rappels de cours</strong></li><li>Des <strong>explications </strong>sur le déroulement de l’année</li><li>Des <strong>méthodes de travail</strong></li><li>Les <strong>astuces </strong>pour réussir son devoir et s'entraîner aux écrits des concours</li><li>Les <strong>mots-clés </strong>à connaître dans chaque notion</li></ul></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ The New Quantum Era : An Outsider's Introduction ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980471</link>
            <description><![CDATA[
            Auteur : Hassinger, Sebastian<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980471"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807787363.jpg" /></a></p>
            <p><p><b>Explore quantum computing concepts and separate hype from reality with a clear, accessible guide to this emerging technology</b></p><h4>Key Features</h4><ul><li>Explore quantum computing concepts without complex math or code</li><li>Understand the history, challenges, and future of quantum technologies</li><li>Distinguish real progress from hype in quantum technologies</li></ul><h4>Book Description</h4>Make sense of quantum computing without needing a background in physics or mathematics, and cut through growing industry hype to understand what’s real and what’s not. This book provides the clarity needed to understand what quantum computing is, what it can realistically achieve, and where it stands today.

Drawing on decades of experience in emerging technologies, Sebastian Hassinger presents a clear, narrative-driven exploration of quantum computing. The book explains the key ideas, historical breakthroughs, and technological challenges that define the field without focusing on equations or programming. You will explore how quantum mechanics reshaped information theory, why classical computing faces limits, how quantum approaches attempt to overcome them, and the experimental origins of quantum technologies.
Through real-world context and industry insights, the book examines current hardware, competing approaches to building qubits, and the realities of today’s rudimentary systems. It also addresses common misconceptions and inflated expectations, helping you critically evaluate claims made by companies and researchers.

By the end of this book, you will have a grounded understanding of quantum computing’s capabilities, limitations, and future direction, enabling you to engage confidently with this rapidly evolving field.<h4>What you will learn</h4><ul><li>Understand core quantum computing concepts intuitively</li><li>Explore the history of quantum physics and computation</li><li>Identify the limits of classical computing systems</li><li>Evaluate current quantum hardware and architectures</li><li>Distinguish hype from realistic quantum applications</li><li>Learn how qubits differ from classical bits</li><li>Understand challenges in scaling quantum systems</li><li>Analyze potential use cases across industries</li></ul><h4>Who this book is for</h4><p>This book is for software developers, IT professionals, technology leaders, and curious learners who want to understand quantum computing without deep mathematical knowledge. It is especially useful for professionals exploring emerging technologies, product managers evaluating quantum opportunities, and anyone seeking a clear conceptual foundation in quantum information science. No prior experience in quantum physics is required.</p></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ Micro-frontends for Modern Web Development : A practical approach to scalable frontend architecture (English Edition) ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980625</link>
            <description><![CDATA[
            Auteur : Vijayan, Muthu<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980625"><img src="https://static.cyberlibris.com/books_upload/300pix/9789378541483.jpg" /></a></p>
            <p><b>Description</b><br>
Modern web development is shifting away from bulky monoliths toward flexible micro-frontends. As teams scale and products grow, traditional frontend architectures often struggle to keep up. Micro-frontends offer a practical way to break large applications into smaller, independent parts that teams can build and release on their own, while still delivering a unified user experience.<br><br>

This book begins with the core principles of modularity. Readers will read about what micro-frontends are, why they matter, and how they have reshaped frontend development over the last decade. The book covers practical approaches, including building the right mental model, designing modular systems, setting up infrastructure, choosing implementation strategies, enabling communication between modules, and managing deployments. By reviewing security practices, industry case studies, and governance, the readers will understand how to manage the organizational impact and leadership requirements of scaling these systems with clarity.<br><br>

By the end of this book, you will be highly competent in building, deploying, and monitoring scalable micro-frontend systems that meet professional standards. You will possess the practical skills to lead architectural transitions and deliver high-performance web applications in any modern enterprise environment.
<p></p>

<b>What you will learn</b><br/>
? Understand the need for a modular frontend architecture.<br>
? Learn core principles of micro-frontend architecture.<br>
? Design modular and scalable frontend systems.<br>
? Apply practical composable integration patterns.<br>
? Enable communication across independent frontend modules.<br>
? Implement deployment strategies for distributed micro-frontends.<br>
? Evaluate organizational readiness for micro-frontend adoption.
<p></p>

<b>Who this book is for</b><br>
This book is for web engineers, architects, and DevOps professionals building modular applications. It also assists backend engineers, students, and technology leaders. Readers should possess a fundamental understanding of modern web development and JavaScript to effectively implement these micro-frontend architectures.
<p></p>

<b>Table of Contents</b><br>
1. Journey of Frontend<br>
2. Introduction to Micro-frontends<br>
3. Designing Micro-frontends<br>
4. Laying Infrastructure<br>
5. Implementation Strategies<br>
6. Communication and Interoperability<br>
7. Deployment Strategies<br>
8. Observability and Monitoring<br>
9. Performance and Security<br>
10. Organizational Impact
</p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ RAG from First Principles : Engineering retrieval-augmented generation systems with Python, LangChain, and LlamaIndex ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980811</link>
            <description><![CDATA[
            Auteur : Huang, Jia<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980811"><img src="https://static.cyberlibris.com/books_upload/300pix/9781835888674.jpg" /></a></p>
            <p><p><b>A rigorous, code-first guide to RAG engineering by a bestselling AI author. Master data ingestion, chunking, embeddings, vector storage, hybrid retrieval, reranking, and evaluation from the ground up.
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Engineer RAG systems layer by layer, from ingestion to evaluation</li><li>Master hybrid retrieval, reranking, and index optimization strategies</li><li>Learn through a dialogue-driven, code-first teaching style used by 10,000+ of students</li></ul><h4>Book Description</h4>Most developers can spin up a RAG pipeline in an afternoon using LangChain or LlamaIndex. Far fewer understand why retrieval fails or how to fix it. This book is for those who want to go deeper.
RAG From First Principles dismantles the retrieval-augmented generation stack layer by layer, explaining how documents are ingested and parsed, why chunking strategy directly impacts answer quality, how embedding models encode meaning, what happens inside a vector database, and how sparse and dense retrieval interact in a hybrid system. Written by Jia Huang, a research engineer and bestselling AI author, it brings both research depth and production experience to one of AI's most critical engineering disciplines.
Structured as a progressive dialogue between a seasoned engineer and two students, the book surfaces the questions practitioners actually ask. Each chapter builds on the last, covering topics from data import and chunking to embedding selection, index design, hybrid search, and post-retrieval processing, before moving on to response generation, evaluation, and advanced paradigms including GraphRAG, Agentic RAG, and Modular RAG.
By the end, you'll have the architectural understanding to optimize, debug, and extend your RAG systems with confidence.
*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Parse and ingest diverse document types like PDFs, tables, images, web pages, and structured data</li><li>Apply the right chunking strategy for your content type and retrieval goals</li><li>Select, compare, and fine-tune embedding models for your domain</li><li>Design vector indexes and choose the right similarity metrics for production use</li><li>Improve result quality with reranking methods including RRF, cross-encoders, and ColBERT</li><li>Integrate retrieval results into generation pipelines using prompt engineering and Self-RAG</li></ul><h4>Who this book is for</h4><p>This book is for AI engineers, ML practitioners, and software developers building LLM-powered applications who want a deeper understanding of how retrieval actually works, not just how to call a framework. It is ideal for readers who have built a basic RAG pipeline and now want architectural clarity, optimization strategies.
Technical leads and architects designing production AI systems will find its systematic treatment of indexing, hybrid search, reranking, and evaluation particularly valuable. Familiarity with Python and foundational LLM concepts is assumed.</p></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
                <item>
            <title><![CDATA[ Les Maths sont autour de nous ]]></title>
            <link>https://international.scholarvox.com/catalog/book/88980586</link>
            <description><![CDATA[
            Auteur : Strauss, Laurent<br/> 
            Editeur : Ellipses<br/> 
            <p><a href="https://international.scholarvox.com/catalog/book/88980586"><img src="https://static.cyberlibris.com/books_upload/300pix/9782340117426.jpg" /></a></p>
            <p><p>Cet ouvrage a pour but de montrer à quoi servent les mathématiques et comment elles sont présentes autour de nous, parfois de façon insoupçonnée, mais toujours très concrète !</p><p>De nombreux thèmes sont abordés, et montrent le lien avec notre vie actuelle : moteurs de recherche, sécurité informatique, météorologie, médecine, finance, intelligence artificielle, applications industrielles, théorie de la relativité, etc. </p><p>En résumé, ce livre contient :</p><ul><li>Une <strong>cinquantaine de thèmes</strong> abordant plusieurs notions mathématiques et comment celles-ci s’illustrent au quotidien (Google, pyramides, trajectoire d’un ballon de foot, etc.).</li><li>Ces derniers sont classés par différents degrés de difficulté, notés de 1 à 4.</li><li>En annexe, les <strong>7 Prix du Millénaire</strong> et les <strong>23 Problèmes de Hilbert</strong>, soit des problèmes mathématiques identifiés comme travaux de recherche majeurs. </li><li>Un <strong>index des mathématiciens</strong> <strong>cités</strong> en fin d’ouvrage.</li></ul></p>
            ]]></description>
            <pubDate>2026-06-10T08:00:02.793</pubDate>
        </item>
            </channel>
</rss>