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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.

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.

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. 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

Learn how a frontend web framework works by coding your own!Web developers use frontend frameworks every day—but do you know how these essential parts of your stack really work? Build a Frontend Web Framework (From Scratch) reveals the inner workings of web frameworks by helping you create your very own. In Build a Frontend Web Framework (From Scratch), you’ll learn the secrets behind frameworks like React, Vue, and Angular, including: Create HTML documents programmatically Define the view with virtual DOM Update the HTML efficiently with reconciliation algorithms Create two-way communication mechanisms between components in a hierarchy Whatever your experience level, you’ll be able to start building your framework with this guide. All you need is some core skills in HTML, CSS, and JavaScript. And once you’ve learned how frameworks function, you’ll be able to work with them more efficiently, troubleshoot bugs more effectively, and even customize them for your specific needs! Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology You use frontend frameworks every day, but do you really know what’s going on behind the API? Building your own framework is a great way to learn how they interact with the DOM, generate page views, route data between components, and communicate with the underlying operating system. With this interesting and entertaining book, you’ll build your own web framework step-by-step in JavaScript, ready to share with the world as an NPM package! About the book 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. You’ll appreciate how each critical concept is broken down into easy-to-digest chunks and explained with engaging graphics. What's inside Create HTML documents programmatically Define the view with the virtual DOM Implement a component lifecycle scheduler About the reader For web developers familiar with JavaScript and Node. About the author Angel Sola Orbaiceta has worked in the software industry for over a decade, creating software for the cloud, macOS, and Windows desktop applications. Table of Contents PART 1 1 Are frontend frameworks magic to you? 2 Vanilla JavaScript—like in the old days PART 2 3 Rendering and the virtual DOM 4 Mounting and destroying the virtual DOM 5 State management and the application’s lifecycle 6 Publishing and using your framework’s first version 7 The reconciliation algorithm: Diffing virtual trees 8 The reconciliation algorithm: Patching the DOM PART 3 9 Stateful components 10 Component methods 11 Subcomponents: Communication via props and events 12 Keyed lists 13 The component lifecycle hooks and the scheduler 14 Testing asynchronous components Appendix

Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more.Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack. In Everyday Data Visualization you’ll learn important design principles for the most common data visualizations: Harness the power of perception to guide a user’s attention Bring data to life with color and typography Choose the best chart types for your data story Design for interactive visualizations Keep the user’s needs first throughout your projects This book gives you the tools you need to bring your data to life with clarity, precision, and flair. You’ll learn how human brains perceive and process information, wield modern accessibility standards, get the basics of color theory and typography, and more. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Even mundane presentations like charts, dashboards, and infographics can become engaging and inspiring data stories! This book shows you how to upgrade the visualizations you create every day by improving the layout, typography, color, and accessibility. You’ll discover timeless principles of design that help you highlight important features, compensate for missing information, and interact with live data flows. About the book Everyday Data Visualization guides you through basic graphic design for the most common types of data visualization. You’ll learn how to enhance charts with color, encourage users to interact and explore data and create visualizations accessible to everyone. Along the way, you’ll practice each new skill as you take a dashboard project from research to publication. What's inside Bring data to life with color and typography Choose the best chart types for your data story Design interactive visualizations About the reader For readers experienced with data analysis tools. About the author Desireé Abbott has over a decade of experience in product analytics, business intelligence, science, design, and software engineering. The technical editor on this book was Michael Petrey. Table of Contents PART 1 1 Hello, data viz! 2 How we perceive information 3 It’s all about the data PART 2 4 Choosing colors 5 Typography 6 Creating a good chart 7 Designing for interactivity PART 3 8 Research, design, and development 9 Troubleshooting Appendix

Dodge the common mistakes that even senior developers make, take full advantage of static analysis tools, and deliver robust and error-free Java code.Whenever you make a mistake writing Java, it’s almost guaranteed that someone else has made it before! In 100 Java Mistakes and How To Avoid Them you’ll learn about the common and the not-so-common antipatterns, errors, and tricky bits that trip up almost every Java developer. Inside 100 Java Mistakes and How To Avoid Them you will learn how to: Write better Java programs Recognize common mistakes during programming Create fewer bugs and save time for debugging and testing Get help from static analyzers during programming Configure static analysis tools to reduce the number of false reports Extend static analysis tools with custom plugins Each Java mistake in this handy guide comes with an illustrative code sample, an explanation of why the mistake occurs, and an actionable “ways to avoid this” section to help you dodge the error. Plus, you’ll benefit from useful static analysis sidebars that let you know when mistakes will—and won’t—be spotted by static analysis tools. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Foreword by Cay Horstmann. About the technology Minor bugs in development can become major problems in production. It’s much better to spot and fix your mistakes before they get that far! This one-of-a-kind book shines a light on the most common Java slip-ups and shows you exactly how to avoid making them in the first place. About the book 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. You’ll learn to use static analysis tools like IntelliJ IDEA and SonarLint to ensure you’re consistently delivering exceptional Java, discover how unit tests and defensive coding can keep your code clean, and even learn to write your own bug-busting plugins. What's inside Recognize bugs and antipatterns during programming Highly-effective debugging and testing Get help from static analyzers About the reader For Java developers of all skill levels. About the author Tagir Valeev is a technical lead in JetBrains and a Java Champion. He designed and developed many code inspections for IntelliJ IDEA built-in static analyzer. The technical editor on this book was Jean-François Morin. Table of Contents 1 Managing code quality 2 Expressions 3 Program structure 4 Numbers 5 Common exceptions 6 Strings 7 Comparing objects 8 Collections and maps 9 Library methods 10 Unit testing A Static analysis annotations B Extending static analysis tools

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. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Even a simple object-oriented application can quickly become complex as it evolves. Each new class, method, or feature means more state and abstractions to manage, which in turn increases complexity, maintenance, and time spent detangling legacy code. It takes effort and skill to keep your codebase simple. This book shows you how. About the book Simple Object-Oriented Design: Create clean, maintainable applications presents practical design principles you can use to keep an object-oriented codebase simple as it grows and changes. Written as a collection of practical techniques you can apply in any OO language, it offers tips for concise code, managing dependencies and modules, and designing flexible abstractions. Illuminating figures, real-world examples, and insightful exercises make each principle stick. What's inside Writing simple, understandable classes Flexible abstractions to extend your designs Reducing the impact of coupling About the reader Readers should be familiar with an object-oriented language like Java, C#, or Python. About the author Maurício Aniche is a software engineer with 20 years of experience. He’s also an Assistant Professor in Software Engineering at Delft University of Technology, and the author of Effective Software Testing. Table of Contents 1 It’s all about managing complexity 2 Making code small 3 Keeping objects consistent 4 Managing dependencies 5 Designing good abstractions 6 Handling external dependencies and infrastructure 7 Achieving modularization 8 Being pragmatic

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.

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

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

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.

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.

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.

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.

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.

SummaryRevised and updated for Elixir 1.7, Elixir in Action, Second Edition teaches you how to apply Elixir to practical problems associated with scalability, fault tolerance, and high availability. Along the way, you''ll develop an appreciation for, and considerable skill in, a functional and concurrent style of programming.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyWhen you''re building mission-critical software, fault tolerance matters. The Elixir programming language delivers fast, reliable applications, whether you''re building a large-scale distributed system, a set of backend services, or a simple web app. And Elixir''s elegant syntax and functional programming mindset make your software easy to write, read, and maintain.About the BookElixir in Action, Second Edition teaches you how to build production-quality distributed applications using the Elixir programming language. Author Saša Jurić introduces this powerful language using examples that highlight the benefits of Elixir''s functional and concurrent programming. You''ll discover how the OTP framework can radically reduce tedious low-level coding tasks. You''ll also explore practical approaches to concurrency as you learn to distribute a production system over multiple machines. What''s insideUpdated for Elixir 1.7Functional and concurrent programmingIntroduction to distributed system designCreating deployable releasesAbout the ReaderYou''ll need intermediate skills with client/server applications and a language like Java, C#, or Ruby. No previous experience with Elixir required.About the AuthorSaša Jurić is a developer with extensive experience using Elixir and Erlang in complex server-side systems.Table of ContentsFirst stepsBuilding blocksControl flowData abstractionsConcurrency primitivesGeneric server processesBuilding a concurrent systemFault-tolerance basicsIsolating error effectsBeyond GenServerWorking with componentsBuilding a distributed systemRunning the system

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.

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!

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!

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.

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.

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.

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.

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!

Machine Learning Algorithms in Depth dives deep into the 'how' and the 'why' of machine learning algorithms. For each category of an algorithm, you will go from math-first principles to hands-on implementation in Python. You will explore dozens of examples from across all the fields of machine learning, including finance, computer vision, NLP, and more. Each example is accompanied by worked-out derivations and details as well as insightful code samples and graphics. By the time you're done reading, you will know how major algorithms work under the hood -- and be a better machine learning practitioner. About the reader For intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus.

Edge Computing Technology and Applications introduces all aspects of edge computing. Illustrations and graphics help make complex topics easy to understand. If you're a business decision maker, you'll welcome the jargon-free explanations of key concepts. Technical pros will appreciate the big-picture coverage of the central technologies of edge computing. You'll find essential coverage of the edge's systems and architectures, as well as how to prevent embarrassing and crippling cyber attacks. Throughout, the book's real-world use cases cut through the hype and reveal how edge computing is being effectively used in industry. about the reader For technology leaders and managers looking to rapidly get up to speed with edge computing.

Demand Forecasting Best Practices is a handbook of techniques for effective demand planning for products of all types. You will learn how to optimise your data, metrics, processes, models, and even people to make better decisions and deliver value to your supply chains. Discover pro tips from author Nicolas Vandeput's global career in supply chain consultancy and dodge the common mistakes you might not know you are making. Illustrations, clear explanations, and relevant real-world examples make each concept easy to understand and easy to follow. About the reader For anyone who wants to improve their demand planning process, including demand planners, S&OP managers, supply chain leaders, and data scientists.

Regular Expression Puzzles and AI Coding Assistants is the perfect starting point for programmers of any experience level who want to understand the capabilities -- and the limitations -- of these exciting new tools. Author David Mertz presents 24 challenging regex puzzles, their traditional human-made solutions, and the fascinating answers given by popular AI assistants. Alongside these eye-opening puzzles, you will learn how to write prompts, integrate AI-generated coding suggestions, and interact with the assistant to get the results you want. By the end of the book, you will have a clear understanding of where AI assistants can reliably write code for you and where you will still need a human touch. Plus, you will learn a lot about regular expressions! About the reader Code examples use simple Python and Regular Expressions. No experience with AI coding tools is required.

Use Akka to solve the big problems of distributed systemsfrom multithreading and concurrency, to handling scalability and failure.In Akka in Action, Second Edition you will learn how to:Create basic programs with AkkaWork with clusters to build robust, fault tolerant programsCreate and maintain distributed state with strong consistency guaranteesBuild microservices with AkkaUtilize concurrency and parallelismTest Akka softwareAkka in Action, Second Edition teaches you to use the latest version of Akka to solve common problems of distributed systems. Akka contributor Francisco Lï¿¿pez-Sancho demonstrates Akkas complex concepts through real-world use cases, including clustering, sharding, persistence, and deploying to Kubernetes. Discover the power of the Actor model, and how to leverage most of the Akka modules to create microservices that are reliable and fault tolerant.about the technologyAkka is a toolkit of libraries that make it easy to implement distributed applications in Scala and Java. Akkas Actor model avoids many of the complexities of multithreading, while making systems elastic and resilient, and provides strong consistency.

Cyber Threat Hunting teaches you how to identify potential breaches of your security. You will learn by exploring real-life scenarios drawn from author Nadhem AlFardan's twenty years in information security. Beginning with the fundamentals, you will build a practical hunting framework and discover good practices for optimising and improving expeditions. You will learn to employ advanced techniques that draw on machine learning and statistical analysis to help spot anomalies. Best of all, this practical book comes with downloadable datasets and scenario templates to practice and hone your threat-hunting techniques. About the reader For security, network, and systems professionals familiar with security tools and Python.