Titres dans Programmation et développement de logiciels

Grokking Artificial Intelligence Algorithms is a fully illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises.

Manning's best-selling Java 8 book has been revised for Java 9 and 10! In Modern Java in Action, you'll build on your existing Java language skills with the newest features and techniques. Modern Java in Action connects new features of the Java language with their practical applications. It will help you expand your existing knowledge of core Java as you master modern additions like the Streams API and the Java Module System, explore new approaches to concurrency, and learn how functional concepts can help you write code that’s easier to read and maintain.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

GitOps and Kubernetes introduces a radical idea - managing your infrastructure with the same Git pull requests you use to manage your codebase. In this in-depth tutorial, you’ll learn to operate infrastructures based on powerful-but-complex technologies such as Kubernetes with the same Git version control tools most developers use daily. With these GitOps techniques and best practices, you’ll accelerate application development without compromising on security, easily roll back infrastructure changes, and seamlessly introduce new team members to your automation process.

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.

Want to use the Terraform automation tool to design and manage servers that can be provisioned, shared, changed, tested, and deployed with a single command? Terraform in Action introduces the infrastructure-as-code (IaC) model that lets you instantaneously create new components and respond efficiently to changes in demand. Using practical, relevant examples, you’ll use Terraform to provision a Kubernetes cluster, deploy a multiplayer game, and configure other hands-on projects. Listen and discover how to think in Terraform rather than just copying and pasting scripts.

Functional Programming in JavaScript teaches JavaScript developers functional techniques that will improve extensibility, modularity, reusability, testability, and performance. Through concrete examples and jargon-free explanations, this book teaches you how to apply functional programming to real-life development tasks.

Your mission: To design an intuitive UI for your next project. Your problem: You’re not sure what “intuitive UI” really means. Worst problem: Your team isn’t sure either, so your discussions about intuitive design are unproductive and opinion-driven. If this sounds familiar, Intuitive Design: Eight Steps to an Intuitive UI will give you the insight, principles, and guidelines you need to get the job done. You’ll learn the objective and actionable steps for designing intuitive UIs - for mobile, web, and desktop apps. Mission accomplished!

Faced with a software project of epic proportions? Tired of over-committing and under-delivering? Enter the dojo of the agile samurai, where agile expert Jonathan Rasmusson shows you how to kick-start, execute, and deliver your agile projects. Combining cutting-edge tools with classic agile practices, The Agile Samurai gives you everything you need to deliver something of value every week and make rolling your software into production a non-event.

You'd like to estimate your project's cost or schedule accurately. So far, none of your approaches have worked. It's time to consider how you can create an accurate estimate. You might not be able to develop an estimate at the beginning of a project that is good until the end. Few project teams can. Instead, learn a number of ways to see your project and how to address your uncertainties in ways your managers will accept.

Most people struggle with AI because they don't know how to talk to it. This hands-on beginner's guide gives you the tools, confidence, and structure to get real results from today's most powerful AI tools, no tech skills required. The AI Workshop is your plain-language guide to mastering prompt engineering, the skill that turns vague AI requests into powerful results. Whether you're a student, business owner, creative professional, or simply curious about AI, this book shows you how to stop guessing and start getting consistent, high-quality outputs.

Trust in Artificial Intelligence is not just a regulatory requirement—it is a matter of business ethics, cultural awareness, and responsible design. This book takes an integrated approach, revealing how Trustworthy AI Systems extend beyond algorithms, servers, and databases to also include appearance, environment, and humans.

Energy-Efficient Computing: Designing Sustainable Systems for Performance, Power Optimization, and a Greener Digital Future delivers a comprehensive, forward-looking exploration of how modern computing systems can be engineered to balance performance demands with the urgent need for sustainability. As data centers grow, AI workloads scale, and edge devices proliferate, energy-efficient design is no longer optional—it is essential for the future of digital innovation.

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Velocity Money: Crypto, Karma, and the End of Traditional Economics explores how cryptocurrency enables a new economic paradigm built on speed, transparency, and purpose. Crypto is reframed as “velocity money”—value that moves instantly and intelligently, unlocking global participation and 24/7 productivity. But speed alone isn't enough. The book introduces karma economics, where value is based on contribution, not accumulation, and proposes replacing GDP with Gross Domestic Requirement (GDR)—a real-time measure of what people need to live well.

Unlock the full potential of Python programming with 2025 Python Programming Coding, Projects, and Problem-Solving Automation, now available in audiobook format! Perfect for students, educators, and aspiring developers, this engaging guide takes you step-by-step through Python’s essentials, from coding basics to real-world applications.

Most companies developing software employ something they call "Agile." But there's widespread misunderstanding of what Agile is and how to use it. If you want to improve your software development team's agility, this comprehensive guidebook's clear, concrete, and detailed guidance explains what to do and why, and when to make trade-offs.

In our interconnected world, we face a complex cybersecurity ecosystem where digital vulnerabilities can have far-reaching consequences. Threats to digital infrastructure often impact critical physical systems, potentially causing real-world harm. With AI agents set to handle extensive personal information, data security and privacy are more crucial than ever.

Achieving high accuracy in AI systems requires careful consideration of various factors, including data quality, algorithm selection, model complexity, evaluation metrics, domain-specific challenges, and ongoing learning and adaptation. While AI systems have demonstrated remarkable accuracy in many applications, continuous research and development efforts are needed to further improve accuracy and address the challenges associated with real-world deployment.