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  • av Sam Van Overmeire
    865,-

    Write Powerful Rust Macros teaches you how to write, test, debug, and publish macros for Rust. It's perfect for Rust practitioners who want to master this powerful development technique.

  • av James Petty
    865,-

    Inside AI tours every leading technique of AI and machine learning, showing you how they work, and how you can incorporate them into your business. Accessible, non-technical language and real-world use cases help you develop a practical AI literacy so you can start using these tools to their full potential.

  • av Roman Elizarov
    865,-

    Kotlin in Action, Second Edition teaches you Kotlin techniques you can use for almost any type of application, from enterprise services to Android apps. You'll start with Kotlin fundamentals, learning how the language handles everything from statements and functions to classes and types, and about its unique features that make Kotlin programming so seamless.

  • av Nathan B Crocker
    729,-

    AI-Powered Developer: Build great software with ChatGPT and Copilot shows you how to put AI coding tools like Github Copilot and ChatGPT into action. This practical book helps you develop an instinct for AI code and an understanding of what problems AI can and can't solve. You'll soon be confident in your transition to this new way to build software, aided by your diligent team of AI assistants.

  • av Malcolm McDonald
    995,-

    Grokking Web Application Security teaches you how to build web apps that are ready for and resilient to any attack. You'll learn what motivates hackers to hack a site, discover the latest tools for identifying security issues, and set up a development lifecycle that catches security issues early.

  • av Tony Cruise
    709,-

    Classic Game Programming on the NES will show you how to turn your ideas into reality. You don't need any game development experience or specialist programming skills. You don't need a team of developers and graphic artists. This one-stop guide teaches you everything you need to know, step-by-step.

  • av Clinton David
    565,-

    The Complete Obsolete Guide to Generative AI is a lighthearted look at programming with AI, as well as a rock-solid resource for getting the best out of these insanely powerful services. Let it be your guide to creating images and presentations, working with data feeds, prompt engineering, and much more.

  • av Michael Rosing
    865,-

    Elliptic Curve Cryptography (ECC) is the powerful security protocol used for everything from credit card transitions to the blockchain. This reader-friendly book guides you step-by-step until you're ready to write embedded systems code with advanced mathematical algorithms.

  • av Ronald Mak
    735,-

    Object-Oriented Software Design in C++ is packed with 'before' program examples that show what not to do, followed by 'after' versions built with the benefits of good design. You'll learn how to gather and analyze requirements so you're building exactly what your client is looking for, discover how to utilize iterative development to backtrack mistakes, and revise your code to be as good as it can be.

  • av Akli Adjaoute
    359,-

    Separate the AI facts from the AI fiction, and discover how you can best put these tools to work in your organization.In Inside AI AI professor and entrepreneur Dr. Akli Adjaoute puts AI in perspective, with informed insights from 30 years spent in the field. His book lays out a pragmatic blueprint that every leader can utilize to drive innovation with artificial intelligence. In Inside AI you’ll learn how to: Gain insight into diverse AI techniques and methodologies Learn from both successful and failed AI applications Identify the capabilities and limitations of AI systems Understand successful and failed uses of AI in business See where human cognition still exceeds AI Bust common myths like AI’s threat to jobs and civilization Manage AI projects effectively Inside AI takes you on a journey through artificial intelligence, from AI’s origins in traditional expert systems all the way to deep learning and Large Language Models. There’s no hype here—you’ll get the grounded, evidence-based insights that are vital for making strategic decisions and preparing your business for the future. Foreword by Raymond Kendall. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Artificial Intelligence enthusiasts promise everything from human-like collaboration on everyday tasks to the end of work as we know it. Is AI just a flash in the pan, or can it really transform how you do business? This intriguing book sifts through the hype and separates the truth from the myths, with clear advice on what AI can—and can’t—achieve. About the book Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language Models. Its accessible and jargon-free explanations of leading AI techniques showcase how AI delivers tangible advantages to businesses. Both inspiring and practical, this book provides a proven framework for developing successful AI applications. What's inside Insights from successful and failed AI applications A survey of AI techniques and methodologies Bust common AI myths Manage AI projects effectively About the reader For anyone seeking grounded insights into AI’s capabilities, including business leaders and decision makers. About the author Akli Adjaoute is the founder of multiple AI-related companies. He served as an adjunct professor at the University of San Francisco and as Scientific Committee Chair and Head of the AI department at EPITA. The technical editor on this book was Richard Vaughan. Table of contents 1 The rise of machine intelligence 2 AI mastery: Essential techniques, Part 1 3 AI mastery: Essential techniques, Part 2 4 Smart agent technology 5 Generative AI and large language models 6 Human vs. machine 7 AI doesn’t turn data into intelligence 8 AI doesn’t threaten our jobs 9 Technological singularity is absurd 10 Learning from successful and failed applications of AI 11 Next-generation AI A Tracing the roots: From mechanical calculators to digital dreams B Algorithms and programming languages

  • av Ángel Sola Orbaiceta
    809,-

    Build a Frontend Web Framework (From Scratch) guides you through a simple component-based frontend framework that borrows from React, Svelte, Angular, and other familiar tools. You'll learn how a modern framework operates by adding features like component state and lifecycle management, a virtual DOM, and reconciliation algorithms to update the HTML efficiently.

  • av Desiree Abbott
    735,-

    Everyday Data Visualization gives you skills you'll use to enhance the most common data visualizations, including charts and tables, data dashboards, and infographics. You'll learn how to use color, typography, positioning, and choice of charts to catch and keep a viewer's attention.

  • av Tagir Valeev
    995,-

    100 Java Mistakes and How To Avoid Them highlights 100 Java coding errors, from beginner missteps to mistakes even Java experts don't know they're making. Each case includes clear examples to show you what to look for and concrete troubleshooting advice.

  • av Numa Dhamani
    735,-

    Generative AI tools like ChatGPT are amazing - but how can you get the most out of them in your daily work? This book introduces cutting-edge AI tools and the practical techniques you need to use them safely and effectively.

  • av Mauricio Aniche
    865,-

    Write object-oriented code that's manageable, maintainable, and future-proof.Keeping your object-oriented designs simple demands a creative approach and that's exactly what you'll find in Simple Object-Oriented Design. This book is full of patterns and principles for reducing complexity, each one proven in author Mauricio Aniche's 20-year career in software development. You'll learn how to tackle code's natural growth in complexity, and adopt a "good enough" approach that means it's easy to refactor when requirements change.You'll discover insightful principles for: Making code readable and documented Improving consistency and encapsulation Managing dependencies Designing abstractions Handling infrastructure Effective modularization Learn what constitutes both good and bad object-oriented software design, discover how to make better trade-offs in design decisions, and when to embrace complexity over simpler data structures. With this book as your vital reference, you'll be ready to write code that will last the test of time, without slowing feature delivery to a crawl.

  • av Justin Mitchel
    735,-

    Learn how and why to use Kubernetes to deploy projects of any size.

  • av Alaa Khamis
    929,-

    Solve design, planning, and control problems using modern machine learning and AI techniques. For AI practitioners familiar with the Python language.

  • av Frances Buontempo
    865,-

    Build your skills with essential modern C++ features hands-on by completing eight interesting coding projects. For readers who know the basics of C++, whether they're beginners or out-of-practice veterans.

  • av Artur Guja
    679,-

    Combine the best of human data analysis with the power of AI and ChatGPT. Generative AI for Data Analytics teaches you how to accelerate essential data analytics tasks using ChatGPT. Whether you're a data expert seeking efficiency gains, an analyst looking to extend your spreadsheets with serious data tools, or a complete beginner making a ChatGPT-empowered career jump, this book is for you.

  • av Isaac Abraham
    865,-

    F# in Action guides you from Functional Programming novice all the way to putting F# applications into production! It leverages your existing knowledge of software development and the .NET platform to get you up-and-running fast. Learn how you can use scripts to rapidly explore .NET libraries and packages, and level up your .NET skills for data exploration and analysis.

  • av Rob Reider
    735,-

    Take control of your wealth management by building your own reliable, effective, and automated financial advisor tool.In Build a Robo-Advisor with Python (From Scratch) you’ll learn how to: Measure returns and estimate the benefits of robo-advisors Use Monte Carlo simulations to build and test financial planning tools Construct diversified, efficient portfolios using optimization and other advanced methods Implement and evaluate rebalancing methods to track a target portfolio over time Decrease taxes through tax-loss harvesting and optimized withdrawal sequencing Use reinforcement learning to find the optimal investment path up to, and after, retirement Every day automated digital advisors, also called robo-advisors, make financial decisions worth millions of dollars. Build a Robo-Advisor with Python (From Scratch): Automate your financial and investment decisions teaches you how to construct a Python-based financial advisor of your very own! You’ll develop a flexible tool that’s capable of managing a real investing strategy—all with popular free Python libraries. About the technology Automated “robo-advisors” are commonplace in financial services, thanks to their ability to give high-quality investment advice at a fraction of the cost of human advisors. Your own robo advisor will be a real asset for your financial planning, whether you’re saving for retirement, creating a diversified portfolio, or trying to ensure your tax efficiency. About the book In Build a Robo-Advisor with Python (From Scratch), you’ll design and develop a working financial advisor that can manage a real investing strategy. You’ll add new features to your advisor chapter-by-chapter, including determining the optimal weight of cryptocurrency in your portfolio, rebalancing to keep your investments on target while minimizing taxes, and using reinforcement learning to find a “glide path” that can maximize how long your money will last in retirement. Best of all, the skills you learn in reinforcement learning, convex optimization, and Monte Carlo methods can be applied to numerous lucrative fields beyond the domain of finance. About the reader The book is accessible to anyone with a basic knowledge of Python and finance—no special skills required. About the author Rob Reider has been a quantitative hedge fund portfolio manager for over 15 years. He holds a PhD in Finance from The Wharton School and is an Adjunct Professor at NYU, where he teaches a graduate course in the Math-Finance department called “Time Series Analysis and Statistical Arbitrage.” He has built asset allocation models, financial planning tools, and optimal tax strategies for a robo-advisor. Rob has given numerous lectures that combine Python with finance, as well as developing an online course entitled “Time Series Analysis in Python.” As a hedge fund manager, Rob has been involved in all aspects of the investment process, from discovering new trading strategies to backtesting, executing, and managing the risk. Alex Michalka has worked in finance and technology since 2006. He began his career developing weather derivative pricing models at Weatherbill, spent six years conducting research on quantitative equity portfolio construction at AQR Capital Management, and currently leads the investments research group at Wealthfront. He holds a BA in applied mathematics from UC Berkeley and a PhD in operations research from Columbia University.

  • av Anne-Marie Dufour
    725,-

    D3.js in Action, Third Edition teaches you how to create an extensive portfolio of visualizations, interactive graphics, and data-driven applications using D3.js. This third edition is fully updated to the latest version of D3. It also contains new coverage of the essential aspects of modern digital visualizations.

  • av David MacLeod
    995,-

    Learn Rust in a Month of Lunches is a fast and friendly guide to Rust proficiency. Each lesson introduces a new feature of the language, from working with types to making sense of the Rust standard library. Best of all, almost all code samples run in the browser-based Rust Playground. No need to install Rust to get started on a lesson!

  • av Akanksha Gupta
    689,-

    Think Like a Software Engineering Manager teaches you the skills you need to hire, train, and lead a successful software development team. In this practical guide, you'll explore all aspects of the Software Engineering manager's job, from operational practices along the software development lifecycle to the core skills of handling humans.

  • av Daniel Zingaro
    689,-

    Learn AI-Assisted Python Programming: With GitHub Copilot teaches you to code the AI way. Instead of starting with slow, low-level details, you'll learn how to bring your ideas to life immediately using AI-generated code. Absolutely no programming experience required!

  • av Adam Freeman
    885,-

    Essential TypeScript 5 is a fully updated third edition of the classic Adam Freeman bestseller. It provides full coverage of TypeScript 5, including new features like decorators. You'll begin with the hows-and-whys of TypeScript, then quickly progress to practical applications of static types. No wasted pages! Each chapter is focused on the skills you need to write awesome web apps.

  • av Marwan Alsabbagh
    735,-

    Build Your Own Robot introduces you to the exciting world of robotics. Your robot isn't just theory. Beginning in chapter 2 you'll write code to make your robot move and respond to touch sensors. The book gives accessible advice on available hardware and free open source software that makes creating a robot fun and affordable.

  • av James Cutajar
    685,-

    From the back cover Learn Concurrent Programming with Go teaches you how to boost the performance of your systems through the power of concurrent programming. It demystifies concurrency, explaining complex topics using simple language, easy-to-follow visuals, and relevant examples you'll face every day as a developer. You'll get an under-the-hood understanding of concurrency by building common concurrency tools like readers/writer locks, semaphores, and thread pools. By the time you're done reading, you'll be effortlessly coding concurrent applications in Go. You'll also have a great foundation to apply your new concurrency skills in almost any other language. About the reader For programmers who already know the basics of Go or another C-style language. No experience in concurrent programming required.

  • av Bojan Magusic
    595,-

    From the back cover Azure Security is a practical guide to the native security services of Microsoft Azure. You'll learn how to use Azure tools to improve your systems security and get an insider's perspective on establishing a DevSecOps program using the capabilities of Microsoft Defender for Cloud. Insightful analogies and hands-on examples help demystify tricky security concepts, while clever exercises help reinforce what you've learned. About the reader For software and security engineers building and securing Azure applications.

  • av Paul McFedries
    489,-

    From the back cover This exciting second edition of Web Design Playground is fully updated with new technologies and thoughtful approaches for building modern websites. Discover timeless HTML and CSS techniques, and dive into their cool new tags and features, including Flexbox and CSS Grid. Four serious projects put your skills to the test and give you useful, real-world pages for your portfolio. Don't worry about setting up your own servers and domain names--the book comes with a free online "playground" to experiment with and get creative. You can concentrate on core skills like page layout and adding images and video, as well as learning typography, responsive design, and the other modern web design techniques. Before you know it, you'll be ready to create gorgeous pages that reflect your creativity and style. About the reader If you can use a browser, you're ready to create web pages!

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