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Free and open source software (FOSS) is everywhere and is the driving force behind nearly all software developed today. It doesn't matter what industry your company is in: Learning more about how to use, contribute to, and release FOSS can be the strategic edge that your company needs. With the proper knowledge and approach, open source can form the cornerstone of a digital transformation effort, increase developer retention, decrease recruiting cycles, ensure reliable security, and reinforce the company brand. All this and more, by shifting your company's FOSS strategy from accidental to intentional. Free and open source software (FOSS) is the whetstone of the cutting edge. Your company is almost certainly using FOSS right now, whether you know it or not. FOSS is already part of your company, so you need to know how to manage it effectively and strategically. If you're participating in a digital transformation effort, or reducing business risk, or building a product roadmap, or creating a company or team strategy, or if you need to round out your existing open source knowledge by filling in some gaps, this is the information you need. Discover how to use, contribute to, and release open source projects effectively and strategically for your business. Avoid the dangers inherent in license compliance and other intellectual property matters. Incorporate community management to bolster the sustainability of projects that are critical to your company. Manage your software supply chain to track and maintain the projects your company relies on. Create policies and procedures both for inbound and outbound FOSS engagement. Develop tactics for community management to ensure corporate open source efforts remain on target for business goals. Build your free and open source software strategy and go from accidental to intentional. What You Need: No software requirements, just a desire to help your company succeed through proper open source engagement.

Rails 7.2 completely redefined what it means to produce fantastic user experiences and provides a way to achieve all the benefits of single-page applications - a fraction of the complexity. Rails 7.2 integrated the Hotwire frameworks of Stimulus and Turbo directly as the new defaults, together with that hot newness of import maps. The result is a toolkit so powerful that it allows a single individual to create modern applications upon which they can build a competitive business. The way it used to be.Ruby on Rails helps you produce high-quality, beautiful-looking web applications quickly - you concentrate on creating the application, and Rails takes care of the details. Rails 7.2 brings many improvements, and this edition is updated to cover the new features and changes in best practices.We start with a step-by-step walkthrough of building a real application, and in-depth chapters look at the built-in Rails features. Follow along with an extended tutorial as you write a web-based store application. Eliminate tedious configuration and housekeeping, seamlessly incorporate JavaScript, send and receive emails, manage background jobs with ActiveJob, and build real-time features using WebSockets and ActionCable. Test your applications as you write them using the built-in unit, integration, and system testing frameworks, internationalize your applications, and deploy your applications easily and securely.Rails 1.0 was released in December 2005. This book was there from the start, and didn't just evolve alongside Rails, it evolved with Rails. It has been developed in consultation with the Rails core team. In fact, Rails itself is tested against the code in this book.What You Need:All you need is a Windows, Mac OS X, or Linux machine to do development on. This book will take you through the steps to install Rails and its dependencies. If you aren't familiar with the Ruby programming language, this book contains a chapter that covers the basics necessary to understand the material in the book.

Use serverless technologies to build applications that scale, more quickly and easily, and without worrying about deployment. Whether you're writing an API, a full-stack app, or real-time code, harness the power of serverless on Cloudflare's platform so you can focus on what you do best: delivering solutions. With hands-on instruction and code samples throughout, you'll go from building a simple API to analyzing images with AI. And, when it's time to launch, you'll learn how to deploy your applications and websites automatically, and how to optimize their performance for production. For decades, applications have been built and deployed in a similar way: you write code, provision a server, and upload your code. Over the years, you've graduated from FTP or SSH to Docker and Kubernetes, but fundamentally you've just switched from owning to renting; you're paying 24/7 for the server hosting your app. Serverless technologies change that model. With serverless, you focus on writing code, and not how it's deployed. You only pay for when your application code is executed, rather than paying for idle servers. In this book we'll use Cloudflare, which was built from the ground up to be a serverless platform, but the same concepts apply to every serverless provider. With this book, you'll learn a better way to build applications, and you'll see improved productivity and ease of deployment. From secrets to dependencies, such as databases and caches, Cloudflare has revolutionized how to build applications, and has made building applications easier and more fun. As you go through the book, you'll learn in detail what serverless is, how it functions behind the scenes, and how to build serverless applications on Cloudflare. When you finish this book, you'll understand how to think in terms of serverless functions, and you'll have the experience of deploying and extending these apps as you work through the examples. What You Need: Mac or PC GitHub account (free) Cloudflare account (free)

The classic Pragmatic Unit Testing with Java in JUnit returns for a third edition, streamlined and rewritten with updated and more accessible code examples. In this edition, you'll learn how to create concise, maintainable unit tests with confidence. New chapters provide a foundation of examples for testing common concepts, and guidance on incorporating modern AI tools into your development and testing. Updated topics include improving test quality via development mnemonics, increasing ROI through test and production code refactoring, and using tests to drive development. Pragmatic Unit Testing in Java with JUnit steps you through all the important unit testing topics. If you've never written a unit test, you'll be hand-held through the hard part - getting set up and started. Once past the basics, you'll see numerous examples in order to start understanding what tests for common code concepts look like. You'll then learn how to effectively use the essential features of JUnit, the predominant tool for writing and executing unit tests in Java. You'll gain the combined wisdom of Jeff Langr and original authors Andy Hunt and Dave Thomas, providing decades of unit testing experience on real production systems. You'll learn how to: Craft your code to make unit testing easier in the first place Craft your unit tests to minimize your maintenance effort Use unit tests to support keeping your system clean through refactoring Refactor toward a design that will create the highest possible ROI Test the tough stuff, including code that must be mocked Remember what's important when writing unit tests Help your team reap and sustain the benefits of unit testing Use AI tooling as part of a development process that incorporates unit testing You won't just learn about unit testing in theory - you'll learn about "real" unit testing the Pragmatic way, by working through numerous code examples. What You Need: You'll need the Java SDK (Software Development Kit) version 21 or higher to work through the examples in the book. You'll also want an IDE (Integrated Development Environment) in which to build code. While most of the book doesn't assume use of any specific IDE, you'll find a number of "getting started" screen shots to help you if you're using IntelliJ IDEA.

Immerse yourself in the intricate world of forgotten programming languages with Seven Obscure Languages in Seven Weeks. This comprehensive guide serves as a bridge to understanding and revitalizing legacy code, offering invaluable insights into the evolution of programming. With hands-on tutorials spanning languages from Forth and Simula to SNOBOL and m4, readers are equipped to maintain older systems and gain a broader perspective on problem-solving techniques. Whether you are a seasoned developer, a software historian, or just curious about the roots of modern coding, this book illuminates the rich tapestry of programming's past and sheds light on its present and future. Venture into overlooked and long-forgotten programming languages that once stood at the forefront of technological innovation. From the stack-oriented design of Forth to the early object-oriented experiences in Simula, bridge the ever-widening chasm between contemporary code and legacy systems. If you find yourself ensnared by the challenges of updating or maintaining older systems, this book is the lifeline. Unravel the fabric of seven programming languages by following practical tutorials and building small applications. Find out how Simula led to C++, what made APL so powerful, and why we still use m4 even to this day. Along the way, you'll broaden your problem-solving horizons, and develop diverse approaches to computation that still ripple through today's coding landscape. By the final chapter, you won't merely possess historical knowledge, you'll be equipped with production ready skills capable of tackling projects that interface with legacy code. Trace the evolutionary lineage of programming to gain a predictive edge in anticipating future trends. After all, this isn't just a nostalgic trip - it's a roadmap to the past, present, and future of coding. What You Need: Various software tools and compilers are available for enthusiasts eager to explore the once-forgotten languages detailed in this book. Guidance is provided primarily for Linux users on accessing these older programming languages. This collection includes languages like m4, integral to the GNU Autoconf system, and other languages incorporated into the GNU ecosystem, such as APL, Forth, and Simula. For those with a penchant for nostalgia, there is the SNOBOL4.2, which can run using the DOSBox MS-DOS emulator. KRoC, an Occam compiler, works only with 32-bit architectures or in a docker. Suffolk University maintains Starset's modern implementation. Readers can find links to repositories of these development tools, ensuring they can fully immerse themselves in this intriguing journey.

As you step into senior engineering leadership roles, you need to make an impact, and you need to make it fast. This book will uncover the secrets of what it means to be a successful director of engineering, VP of engineering, or CTO. With a hands-on, practical approach, it will help you understand and develop the skills that you need, ranging from how to manage other managers, to how to define and execute strategy, how to manage yourself and your limited time, and how to navigate your own career journey to your desired destination. You can become a great engineering leader, the kind that runs a healthy, ambitious, and efficient organization that builds quality products, and this practical guide will provide you with the skills to get there. With this book you'll uncover the tools, techniques, and secrets to being a successful and effective engineering executive. Starting with the roles and responsibilities of directors, VPs, and CTOs, explore their positions in the org chart and understand how they engage on tactical, operational, and strategic levels to deliver great products at scale. Dive into the tools and techniques that you need to be successful. Understand how to frame and allocate your time, how to play finite and infinite games, how to position and manage senior individual contributors, and how to get the best from your peers, your manager, and your counterparts that you collaborate with in other disciplines. Understand how to communicate at scale and then raise the bar through effective performance management. Get strategic: define, create, and execute your vision for your organization that stands the test of time. Understand the typical monthly, quarterly, and yearly cycles that companies go through and how to use them to your advantage. Tackle planning and budgets and understand how to make both work for you. Navigate wartime and peacetime successfully by adapting your priorities and leadership style. Plan out your career journey by understanding that it's never, ever a straight line to get to where you want to go. It's time for us to lift the lid on effective senior leadership. What You Need: There are no prerequisites for this book. However, it is aimed at engineering managers, so some experience or interest in management is useful.

You work in a loop: write code, get feedback, adjust. The faster you get feedback, the faster you can learn and become a more effective developer. Turn your React project requirements into tests and get the feedback you need faster than ever before. Stay focused on what's important by running your tests continuously in the background. The second edition of Test-Driven React has been extensively revised to reflect the latest tools and techniques for React development, including TypeScript. Combine the power of testing, linting, and typechecking directly in your coding environment to iterate on React components quickly and fearlessly! React revolutionized web development by abstracting away the details of DOM manipulation. That conceptual elegance has opened the door to a new generation of web testing: clear, expressive, and lightning fast. That makes React a perfect fit for test-driven development (TDD), a methodology in which tests are a blueprint instead of an afterthought. Each chapter presents new projects to challenge you and new tools to help you. Write fast, easy-to-understand tests with Vitest and React Testing Library. Keep your code tidy with ESLint and Prettier. Perform every task you need from a single window within VS Code. See your test output directly in your code with Wallaby. Style components in a test-friendly way with styled-components. By understanding every piece of your project's stack, you'll feel more confident and able to focus on what matters: writing reliable and maintainable code. The second edition of Test-Driven React has been updated to use TypeScript, the language of choice for modern React development. Find and fix type errors without even running your code. Generate beautiful documentation from type annotations with Storybook, and update it on every commit with GitHub Actions. Discover a more joyful React development experience. Let your tests lead the way! What You Need: You'll need a working knowledge of JavaScript or TypeScript, and a computer running macOS, Windows, or Linux.

Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir's Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you'll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more. The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you'll be using them and much more to solve real-world problems in no time. Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you're used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of deep learning with Axon. Unlock the power of Elixir and learn how to build and deploy machine learning models and pipelines anywhere. Learn how to analyze, visualize, and explain your data and models. Discover how to use machine learning to solve diverse problems from image recognition to content recommendation - all in your favorite programming language. What You Need: You'll need a computer with a working installation of Elixir v1.12 and Erlang/OTP 24. For some of the more compute intensive examples, you'll want to use EXLA, which currently only supports x86-64 platforms. While not explicitly required, some examples will demonstrate programs running on accelerators such as CUDA/ROCm enabled GPUs and Google TPUs. Most of these programs will still run fine on a regular CPU, just for much longer periods of time.

If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your JavaScript code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work. Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. The JavaScript edition uses JavaScript exclusively for all code examples, exercises, and solutions. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You'll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your JavaScript code faster and more scalable. What You Need: Certain code examples take advantage of recently introduced JavaScript features. Therefore, it's important to use a JavaScript environment that supports ECMAScript 6+ or a newer version.

SQL is the ubiquitous language for software developers working with structured data. Most developers who rely on SQL are experts in their favorite language (such as Java, Python, or Go), but they're not experts in SQL. They often depend on antipatterns - solutions that look right but become increasingly painful to work with as you uncover their hidden costs. Learn to identify and avoid many of these common blunders. Refactor an inherited nightmare into a data model that really works. Updated for the current versions of MySQL and Python, this new edition adds a dozen brand new mini-antipatterns for quick wins. No matter which platform, framework, or language you use, the database is the foundation of your application, and the SQL database language is the standard for working with it. Antipatterns are solutions that look simple at the surface, but soon mire you down with needless work. Learn to identify these traps, and craft better solutions for the often-asked questions in this book. Avoid the mistakes that lead to poor performance and quality, and master the principles that make SQL a powerful and flexible tool for handling data and logic. Dive deep into SQL and database design, and learn to recognize the most common missteps made by software developers in database modeling, SQL query logic, and code design of data-driven applications. See practical examples of misconceptions about SQL that can lure software projects astray. Find the greatest value in each group of data. Understand why an intersection table may be your new best friend. Store passwords securely and don't reinvent the wheel. Handle NULL values like a pro. Defend your web applications against the security weakness of SQL injection. Use SQL the right way - it can save you from headaches and needless work, and let your application really shine! What You Need: The SQL examples use the MySQL 8.0 flavor, but other popular brands of RDBMS are mentioned. Other code examples use Python 3.9+ or Ruby 2.7+.

Every organization develops a bureaucracy, and open source projects are no exception. When your structure is intentional and serves the project, it can lead to a successful and predictable conclusion. But project management alone won't get you there. Take the next step to full program management. Become an expert at facilitating communication between teams, managing schedules and project lifecycle, coordinating a process for changes, and keeping meetings productive. Make decisions that get buy-in from all concerned. Learn how to guide your community-driven open source project with just the right amount of structure. Bureaucratic processes naturally develop in large organizations, and open source projects are no different. The trick is to keep the processes intentional and in service of the project. That's program management and you have probably been doing it even if you don't have that title. Make your open source projects successful, predictable, and enjoyable by applying the principles and skills of program management in this book. See how program management differs from project management. Build trust and credibility by building relationships, sharing information, and communicating effectively. Construct efficient decision-making and governance structures, with openness and clear responsibilities. Conduct more effective and enjoyable meetings. Hold the right kind of meeting for the matters to be discussed: text, phone, video, or face-to-face. Develop release lifecycles, including release planning, schedules, and go/no-go decisions, and keep on schedule. Create and manage an effective changes process. Use your bug tracker to better understand and manage the bugs and feature requests of your project. Make decisions that get buy-in from all concerned. Develop processes that serve your open source project instead of making the project serve the process.

Build applications quicker and with less effort using functional programming and Kotlin. Learn by building a complete application, from gathering requirements to delivering a microservice architecture following functional programming principles. Learn how to implement CQRS and EventSourcing in a functional way to map the domain into code better and to keep the cost of change low for the whole application life cycle. If you're curious about functional programming or you are struggling with how to put it into practice, this guide will help you increase your productivity composing small functions together instead of creating fat objects. Switching to the functional paradigm isn't easy when you're used to object-oriented programming. You need more than just lambdas and mapping over collections to get a declarative style and disentangle the state from the computations. Use transformations and compositions to help you write less code with better results. Boost your productivity and harness the power of functional programming by creating real-world applications rather than focusing on theoretical concepts. Work through a series of short exercises to find and compose pure functions, and create data structures that work like algebra. Get rid of mutable state in your software to eliminate the main source of bugs. Apply CQRS and EventSourcing patterns to translate stakeholder requirements into functional design and then into code. See how Kotlin's easy-to-learn syntax and functional-friendly approach make it a great option for a pragmatic language that integrates well with existing Java code and libraries. Leverage functional programming to build and deliver robust applications in less time and with fewer defects. What You Need: The code in this book is designed to allow you to build your application from scratch on Windows, Mac and Linux. You will need a recent IDE, we recommend IntelliJ Community Edition, and Kotlin 1.3.x or later.

This definitive guide to LiveView isn't a reference manual. Learn to think in LiveView. Write your code layer by layer, the way the experts do. Explore techniques with experienced teachers to get the best possible performance.

Use this book as your guide to help you hone your skills and sculpt a Python project that can stand the test of time.

Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and you'll soon be mastering data networks.

Elixir and the OTP offer a range of powerful tools, and this guide will show you how to choose the best tool for each job, and use it effectively to quickly start building highly concurrent applications.

Design and develop sophisticated 2D games that are as much fun to make as they are to play. From particle effects and pathfinding to social integration and monetization, this complete tour of Apple's powerful suite of game technologies covers it all.

Chris Pine takes a thorough, but lighthearted approach that teaches you the fundamentals of computer programming, with a minimum of fuss or bother. Whether you are interested in a new hobby or a new career, this book is your doorway into the world of programming.

Start building native Android apps the modern way in Kotlin with Jetpack's expansive set of tools, libraries, and best practices. Learn how to create efficient, resilient views with Fragments and share data between the views with ViewModels.

Learn how to create functional gadgets using simple but clever circuits based on the venerable "555." These projects will give you hands-on experience with useful, basic circuits that will aid you across other projects. These inspiring designs might even lead you to develop the next big thing.

This is the book for Gophers who want to learn how to build distributed systems. You know the basics of Go and are eager to put your knowledge to work. Build distributed services that are highly available, resilient, and scalable. This book is just what you need to apply Go to real-world situations. Level up your engineering skills today.

Learn how to develop your own voice applications for Amazon Alexa. Start with techniques for building conversational user interfaces and dialog management. Integrate with existing applications and visual interfaces to complement voice-first applications. The future of human-computer interaction is voice, and we'll help you get ready for it.

Do you want to be able to receive satellite images using nothing but your computer, an old TV antenna, and a $20 USB stick? Now you can. At last, the technology exists to turn your computer into a super radio receiver, capable of tuning in to FM, shortwave, amateur "ham," and even satellite frequencies, around the world and above it. Listen to police, fire, and aircraft signals, both in the clear and encoded. And with the book's advanced antenna design, there's no limit to the signals you can receive.Combine your desktop or laptop computer with easy-to-find, Software Defined Radio (SDR) equipment, and tune in a wide range of signals in no time at all. Then, go one step further by converting a Raspberry Pi into your own dedicated SDR device.SDR USB dongles are usually designed to receive and decode high-definition digital television broadcasts, but the rising popularity of SDR has led to several of these devices being specifically made for - and marketed to - the software radio crowd. With step-by-step instructions, you'll have no problem getting everything up and running on both Windows and Linux.The antenna is the final piece in the SDR puzzle: Which antenna do you use? What shape do you need? How big does it have to be? And where do you point it? Get all the answers you need and learn what's possible when it comes to picking out or building an antenna. And if you're not particularly handy, don't worry. You can use an old-school set of rabbit ear antennas without too much modification.Discover the fun of this growing hobby and then open your ears to the hidden signals that surround you.What You Need:You will need a relatively recent computer or laptop, running either Windows or Ubuntu Linux. You can also use a Raspberry Pi. All of the software necessary is free and open-source, and the book describes in detail where to get it and how to install it, depending on your operating system.

This fully updated third edition reveals the changes in the rapidly evolving Clojure ecosystem and provides a practical, complete walkthrough of the Clojure web-stack.

Fearlessly change the design of your iOS code with solid unit tests. Use Xcode's built-in test framework XCTest and Swift to get rapid feedback on all your code - including legacy code. Learn the tricks and techniques of testing all iOS code, especially view controllers (UIViewControllers), which are critical to iOS apps.