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Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices.

You want increased customer satisfaction, faster development cycles, and less wasted work. Domain-driven design (DDD) combined with functional programming is the innovative combo that will get you there. In this pragmatic, down-to-earth guide, you'll see how applying the core principles of functional programming can result in software designs that model real-world requirements both elegantly and concisely - often more so than an object-oriented approach. Practical examples in the open-source F# functional language, and examples from familiar business domains, show you how to apply these techniques to build software that is business-focused, flexible, and high quality.Domain-driven design is a well-established approach to designing software that ensures that domain experts and developers work together effectively to create high-quality software. This book is the first to combine DDD with techniques from statically typed functional programming. This book is perfect for newcomers to DDD or functional programming - all the techniques you need will be introduced and explained.Model a complex domain accurately using the F# type system, creating compilable code that is also readable documentation---ensuring that the code and design never get out of sync. Encode business rules in the design so that you have "e;compile-time unit tests,"e; and eliminate many potential bugs by making illegal states unrepresentable. Assemble a series of small, testable functions into a complete use case, and compose these individual scenarios into a large-scale design. Discover why the combination of functional programming and DDD leads naturally to service-oriented and hexagonal architectures. Finally, create a functional domain model that works with traditional databases, NoSQL, and event stores, and safely expose your domain via a website or API.Solve real problems by focusing on real-world requirements for your software.What You Need:The code in this book is designed to be run interactively on Windows, Mac and Linux.You will need a recent version of F# (4.0 or greater), and the appropriate .NET runtime for your platform.Full installation instructions for all platforms at fsharp.org.

Do less work when testing your Python code, but be just as expressive, just as elegant, and just as readable. The pytest testing framework helps you write tests quickly and keep them readable and maintainable - with no boilerplate code. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing for applications, packages, and libraries. This book shows you how.For Python-based projects, pytest is the undeniable choice to test your code if you're looking for a full-featured, API-independent, flexible, and extensible testing framework. With a full-bodied fixture model that is unmatched in any other tool, the pytest framework gives you powerful features such as assert rewriting and plug-in capability - with no boilerplate code.With simple step-by-step instructions and sample code, this book gets you up to speed quickly on this easy-to-learn and robust tool. Write short, maintainable tests that elegantly express what you're testing. Add powerful testing features and still speed up test times by distributing tests across multiple processors and running tests in parallel. Use the built-in assert statements to reduce false test failures by separating setup and test failures. Test error conditions and corner cases with expected exception testing, and use one test to run many test cases with parameterized testing. Extend pytest with plugins, connect it to continuous integration systems, and use it in tandem with tox, mock, coverage, unittest, and doctest.Write simple, maintainable tests that elegantly express what you're testing and why.What You Need:The examples in this book are written using Python 3.6 and pytest 3.0. However, pytest 3.0 supports Python 2.6, 2.7, and Python 3.3-3.6.

This new edition features practice exercises in every chapter, and new chapters on topics such as dynamic programming and heaps and tries. Get the hands-on info you need to master data structures and algorithms for your day-to-day work.

Roll up your sleeves with real projects and learn the most important concepts of evented architectures. You'll have your own deployable, testable project and a direction for where to go next

Written by members of the Clojure core team, this book is the essential, definitive guide to Clojure. This new edition includes information on all the newest features of Clojure, such as transducers and specs

Don't engineer by coincidence-design it like you mean it! Filled with practical techniques, Design It! is the perfect introduction to software architecture for programmers who are ready to grow their design skills.

Armed with the insights in this book, you can identify, analyze, and systematically reduce the factors that lead to poor health, low productivity, and personal burnout. This book gives you a framework for understanding stress, and a vocabulary to make it easier to discuss it among colleagues.

htmx is a library that adds logic and server interaction to HTML; you get the effect of using a front-end SPA framework without writing front-end code. Use any server-side programming language and framework to build server applications with endpoints that simply return snippets of HTML. Dynamically update portions of the current web page from HTTP responses. Add interactivity with JavaScript and libraries such Alpine and _hyperscript. Make your apps more secure by escaping user-supplied content and specifying a Content Security Policy. Go beyond basic HTTP requests with WebSockets and server-sent events. The htmx JavaScript library gives you a new way to craft web applications. The htmx approach differs significantly from that of the currently popular single-page application (SPA) frameworks; rather than write a bunch of JavaScript, you simply annotate HTML elements before you send them to the browser. The resulting code is easier to understand and modify, and because it downloads less to the browser and doesn't need JSON creation and parsing, you'll find it performs better, too. Rethink web application design; write code in any language that simply responds to requests with htmx snippets. Dynamically update portions of the current web page directly from the server. Implement common patterns such as lazy loading, input validation, CSS transitions, active search, optimistic updates, pagination, infinite scroll, polling, and click-to-edit. Add interactivity with JavaScript and libraries such as Alpine and _hyperscript. Use the htmx JavaScript API to simplify DOM operations. Make your web apps more secure: escape user-supplied content, use Subresource Integrity hashes, and enforce a Content Security Policy. Go beyond the basic HTTP request/response pattern with WebSockets and server-sent events. Discover a simpler way to implement web applications that emphasizes web fundamentals. What You Need: A modern web browser and the ability to build and run a local HTTP server using the server-side language and framework of your choice. The code examples are fully compatible with htmx 2.0.

The days of separate dev and ops teams are over - knowledge silos and the "throw it over the fence" culture they create are the enemy of progress. As an engineer or developer, you need to confidently own each stage of the software delivery process. This book introduces a new paradigm, BEAMOps, that helps you build, test, deploy, and debug BEAM applications. Create effective development and deployment strategies; leverage continuous improvement pipelines; and ensure environment integrity. Combine operational orchestrators such as Docker Swarm with the distribution, fault tolerance, and scalability of the BEAM, to create robust and reliable applications. BEAMOps starts by building a solid foundation for your project. On the infrastructure side, see how to use Terraform before you even start coding to automate your deployment and operations. On the project management side, we show you how to use issues and milestones to simplify tracking; you'll use this foundation as you go through the book, implementing each of the steps required to deploy a scalable Elixir application. Now that you have a foundation, you can start building. Create a Phoenix LiveView application and explore mix releases. Make your deployments reliable with Docker. Continuously improve your codebase by implementing an efficient continuous deployment/integration pipeline with GitHub Actions. Scale the Phoenix LiveView application and operate a distributed BEAM system in production using AWS EC2 nodes, AWS load balancers, and a remote Docker swarm. Recognize which application metrics should be collected and monitored, and set alerts when certain thresholds are met to ensure that your application auto-scales. Ship less code more often, and ensure it works! The pragmatic BEAMOps approach that we teach in this book - an extension of the well-known DevOps paradigm - will help you become a multidisciplinary developer who is empowered to own each stage of the software delivery process. After reading this book, you'll understand how to apply the BEAMOps principles in your daily work, creating reliable, scalable, and easy to understand applications in a cooperative team environment. What You Need: Elixir 1.16.0 (compiled with Erlang/OTP 26) Phoenix framework 1.7.0 Erlang 26.2.1 Terraform v1.7.1 Docker v20.10.22 Packer v1.9.0 Docker Compose v2.21.0 SOPS 3.8.1 Age 1.1.1 An AWS account AWS CLI v2.15.15 A GitHub account GitHub CLI v2.42.1 jq v1.7

Take control of your home and your data with the power of the Go programming language. Build extraordinary and robust home automation solutions that rival much more expensive, closed commercial alternatives, using the same tools found in high-end enterprise computing environments. Best-selling Pragmatic Bookshelf authors Ricardo Gerardi and Mike Riley show how you can use inexpensive Raspberry Pi hardware and excellent, open source Go-based software tools like Prometheus and Grafana to create your own personal data center. Using the step-by-step examples in the book, build useful home automation projects that you can use as a blueprint for your own custom projects. With just a Raspberry Pi and the Go programming language, build your own personal data center that coordinates and manages your home automation, leveraging the same high-powered software used by large enterprises. The projects in this book are easy to assemble, no soldering or electrical engineering expertise required. Build a temperature monitor that can send alerts any time defined thresholds are exceeded and report the temperature readings on a time-based series chart. Change the color of lights to visually indicate the current outdoor weather status. Create a networked motion detector that triggers an alert any time motion is detected, such as a door opening or closing, a pet wandering around, or deliveries or visitors arriving on your front porch. Even have these triggers initiate a more complex Go-based automation sequence. Integrate a small, high-resolution camera into a bird feeder that takes excellent, up-close photos whenever a bird perches at the feeder, and broadcasts them to your Discord server where your family and friends can see these wildlife captures in real time. Control your home with hardware you configure, and manage it with Go code that you create and modify any time you want to enhance your home automation capabilities. What You Need: Readers should be familiar with the Go programming language and have working knowledge of Linux. Free, open source Go-based libraries and utilities are available for download from the Internet. Readers will also need a working Raspberry Pi 3+ or higher, and a Pi Pico W microcontroller. Several other inexpensive electronic parts (touch sensors, motion detectors) are also needed for some of the projects. A Philips Hue base lighting system is also needed for the weather monitor project.

You thought you knew C, but can you solve 25 puzzles in this popular programming language? Noted C programmer and author Dan Gookin provides a series of pointed questions, puzzles, and problems to keep your C programming skills sharp. Each one will provide insight into various aspects of handling strings, numeric operations, and other activities, giving you techniques to take the best advantage of all C has to offer. Challenge yourself, and get to know some powerful tricks and details for writing better, faster, more accurate C code. Most C programming books present the information sequentially, teaching you the right way to code and only rarely describing what could go wrong. In this book, the goal is to find out what did go wrong - or what potentially goes right. Explore interesting and unusual programming concepts and approaches with small, to-the-point, programs and exercises. Hone your C programming skills and expand your knowledge. By working through the brain teasers in this book, you'll fill in gaps in your knowledge and work with advanced concepts such as pointers and recursion. All of the teaser topics were selected to give you food for thought, explaining the technical details behind each puzzle. Look at a code sample and try to guess what output it will give. Code it yourself and see the result. Is it what you expected? Then read the author's lighthearted explanation of exactly why the language does what it does, and how you can take advantage of it. You'll come away with a much better understanding of how the language works, and how to use it for efficient and effective programming. What You Need: You need to know the basics of coding in C, and have an environment for compiling and executing your C code. Any Windows, MacOS, or Linux system with a C compiler does the job. Use the terminal window for traditional C programming. Or obtain an Integrated Development Enviornment (IDE) such as Visual Studio Code, which contains all the software tools you need: Editor, Compiler, and Output.

Build faster, more reliable Rails apps by taking the best advanced PostgreSQL and Active Record capabilities, and using them to solve your application scale and growth challenges. Gain the skills needed to comfortably work with multi-terabyte databases, and with complex Active Record, SQL, and specialized Indexes. Develop your skills with PostgreSQL on your laptop, then take them into production, while keeping everything in sync. Make slow queries fast, perform any schema or data migration without errors, use scaling techniques like read/write splitting, partitioning, and sharding, to meet demanding workload requirements from Internet scale consumer apps to enterprise SaaS. Deepen your firsthand knowledge of high-scale PostgreSQL databases and Ruby on Rails applications with dozens of practical and hands-on exercises. Unlock the mysteries surrounding complex Active Record. Make any schema or data migration change confidently, without downtime. Grow your experience with modern and exclusive PostgreSQL features like SQL Merge, Returning, and Exclusion constraints. Put advanced capabilities like Full Text Search and Publish Subscribe mechanisms built into PostgreSQL to work in your Rails apps. Improve the quality of the data in your database, using the advanced and extensible system of types and constraints to reduce and eliminate application bugs. Tackle complex topics like how to improve query performance using specialized indexes. Discover how to effectively use built-in database functions and write your own, administer replication, and make the most of partitioning and foreign data wrappers. Use more than 40 well-supported open source tools to extend and enhance PostgreSQL and Ruby on Rails. Gain invaluable insights into database administration by conducting advanced optimizations - including high-impact database maintenance - all while solving real-world operational challenges. Take your new skills into production today and then take your PostgreSQL and Rails applications to a whole new level of reliability and performance. What You Need: A computer running macOS, Linux, or Windows and WSL2 PostgreSQL version 16, installed by package manager, compiled, or running with Docker An Internet connection

Elixir will change the way you think about programming. Use your Ruby experience to quickly get up to speed so you can see what all of the buzz is about. Go from zero to production applications that are reliable, fast, and scalable. Learn Elixir syntax and pattern matching to conquer the basics. Then move onto Elixir's unique process model that offers a world-class way to go parallel without fear. Finally, use the most common libraries like Ecto, Phoenix, and Oban to build a real-world SMS application. Now's the time. Dive in and learn Elixir. Whether you're a seasoned Ruby developer looking to expand your skill set or a programming beginner looking for a solid foundation in Elixir, this book has what you need to get up to speed quickly. Elixir is a functional language with a fairly small footprint. This makes it easier to learn and put into production than other languages. Plus, it's built on forty-year-old foundations that give your applications rock-solid stability. The first part of this book is all about developing expertise in the language. Learn about the core data types, build application data structures, enumerate over data, and use pattern matching to control the flow of an application. Elixir has an amazing process model that allows for (actually) easy parallel processing. Learn how to tap into this process model so you can leverage that power yourself. The second part of this book builds a real-world application using the most important libraries in a web developer's toolbox. Each library is compared to its similar Ruby library so you'll quickly see similarities and differences. We'll use Ecto, Phoenix, and Oban to build a SMS application powered by Twilio. What are you waiting for? Tap into your Ruby knowledge and start building scalable Elixir applications today. What You Need: You'll need Elixir 1.14+ and Erlang/OTP 24+ installed on a Mac OS X, Linux, or Windows machine.

Programmers love Go because it is lightweight, easy to work with, and easy to read. Go gives you the benefits of dynamically typed languages (speed of development) while keeping the upsides of strongly typed languages (security and performance). Go is a simple language, but programming in Go is about more than just mastering syntax. There's an art to using Go effectively. Squeeze out the full use of advanced networking and multi-core power for which Go was designed. Save precious coding hours with recipes that help you manage objects, collect garbage, and safely use memory. Tackle Unicode, concurrency, and serialization with ease. All the clean, reusable solutions you need for a wide variety of problems common to Go development. Outfitted with these recipes, your next apps will be more polished and more maintainable than ever. Start out by tackling time and see how the Go time packager provides types that will do most of the heavy lifting for you. Next, work on recipes tailored to the nuances of processing text, like normalizing strings to avoid bugs. From there, whip up some functions on-the-fly and store functions in variables and data structures. Ever wondered why Go seems to be peppered with error handling? Working through the next recipes, you'll discover the benefits, which include more robust code. In the section on HTTP, you'll learn tricks like running multiple HTTP servers on the same port and setting timeouts. With concurrency recipes, you'll limit the number of goroutines to improve performance, give your code awareness of timeouts, and decide when to keep your code sequential instead of making it concurrent. Throughout the book, you'll make Go sizzle following simple recipes and tweaking them to fit your own apps. Using tools like strong typing and concurrency primitives, build a Go codebase that stays maintainable at scale. What You Need: You should know the Go language syntax and have some experience in programming. You will need a Go SDK, a Git client, and for some of the chapters, a C compiler.

At the heart of Silicon Valley's meteoric rise is a story etched in the lives of those who shaped it and those who were forever transformed by it. Author Tom Mahon provides an insider's perspective on the birth of the semiconductor industry, which sparked the region's transformation from sleepy farmland to the heart and soul of the high-tech revolution. Through twenty-five extended, in-person interviews you'll meet a diverse cast of characters whose goal was to create technology and tools in service to humanity. In the Afterword to this edition, the author questions whether they accomplished their objectives and urges readers to rise up and rethink technology. What did it take to create the atmosphere that transformed rich farmland into the wealthy center of high-tech? Five climates lined up in just the right way. Educational institutions (Stanford and Berkeley); an attractive location with balmy, Mediterranean-like weather; a history of technology development (Federal Telegraph in the early twentieth century); financial risk taking (the gold rush); and a cultural climate near the center of an ideological revolution (the hippie movement). The Santa Clara Valley had them all. In spades. Before personal computers, or the Internet, or social media came *chips*. Inventive minds took advantage of the quad-electron structure and unique properties - insulative and conductive - of silicon to create semiconductors. But Charged Bodies is more than just the story of new technologies emerging from "The Valley of the Heart's Delight." Using an approach like The Canterbury Tales, Tom Mahon captures the spirit of Silicon Valley in the 80s through the stories of the people all around him. The inventors and bankers have their say. But so do a range of other people who lived through that transition. Listen as artists and hackers, detectives and journalists, lawyers and scientists, flappers and philosophers tell the story of Silicon Valley in their own words.

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Ruby is one of the most important programming languages in use for web development. It powers the Rails framework, which is the backing of some of the most important sites on the web. The Pickaxe Book, named for the tool on the cover, is the definitive reference on Ruby, a highly-regarded, fully object-oriented programming language. This updated edition is a comprehensive reference on the language itself, with a tutorial on the most important features of Ruby - including pattern matching and Ractors - and describes the language through Ruby 3.3. Would you like to go from first idea to working code much, much faster? Do you currently spend more time satisfying the compiler instead of your clients or end users? Are you frustrated with demanding languages that seem to get in your way instead of helping you get the work done? Are you using Rails and want to dig deeper into the underlying Ruby language? If so, then we've got a language and book for you! Ruby is a fully object-oriented language. The combination of the power of a pure object-oriented language with the convenience of a scripting language makes Ruby a favorite tool of programmers that want to get things done quickly and cleanly. This comprehensive reference manual for Ruby includes a description of the most important standard library modules, built-in classes, and modules. It also includes all the new and changed syntax and semantics introduced through Ruby 3.3, including pattern matching and Ractors, and describes the language through Ruby 3.3. What You Need: This book assumes you have a basic understanding of object-oriented programming. In general, Ruby programmers tend to favor the the command line for running their code, and they tend to use text editors rather than IDEs. Ruby runs on Windows, Linux, and MacOS.

Diagrams communicate relationships more directly and clearly than words ever can. Using only text-based markup, create meaningful and attractive diagrams to document your domain, visualize user flows, reveal system architecture at any desired level, or refactor your code. With the tools and techniques this book will give you, you'll create a wide variety of diagrams in minutes, share them with others, and revise and update them immediately on the basis of feedback. Adding diagrams to your professional vocabulary will enable you to work through your ideas quickly when working on your own code or discussing a proposal with colleagues. Expand your professional vocabulary by learning to communicate with diagrams as easily and naturally as speaking or writing. This book will provide you with the skills and tools to turn ideas into clear, meaningful, and attractive diagrams in mere minutes, using nothing more complicated than text-based markup. You'll learn what kinds of diagrams are suited to each of a variety of use cases, from documenting your domain to understanding how complex code pieces together. Model your software's architecture, creating diagrams focused broadly or narrowly, depending on the audience. Visualize application and user flows, design database schemas, and use diagrams iteratively to design and refactor your application. You'll be able to use technical diagramming to improve your day-to-day workflow. You will better understand the codebase you work in, communicate ideas more effectively and immediately with others, and more clearly document the architecture with C4 diagrams. Manually creating diagrams is cumbersome and time-consuming. You'll learn how to use text-based tools like Mermaid to rapidly turn ideas into diagrams. And You'll learn how to keep your diagrams up to date and seamlessly integrated into your engineering workflow. You'll be better at visualizing and communicating when you add diagrams to your standard vocabulary. What You Need: A Mac or PC A GitHub account

Businesses own more data than ever before, but it's of no value if you don't know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production. But doing it well is far from easy: Less than one fourth of business leaders say their organizations are data driven. In Designing Data Governance from the Ground Up, you'll build a cross-functional strategy to create roadmaps and stewardship for data-focused projects, embed data governance into your engineering practice, and put processes in place to monitor data after deployment. In the last decade, the amount of data people produced grew 3,000 percent. Most organizations lack the strategy to clean, collect, organize, and automate data for production-ready projects. Without effective data governance, most businesses will keep failing to gain value from the mountain of data that's available to them. There's a plethora of content intended to help DataOps and DevOps teams reach production, but 90 percent of projects trained with big data fail to reach production because they lack governance. This book shares six steps you can take to build a data governance strategy from scratch. You'll find a data framework, pull together a team of data stewards, build a data governance team, define your roadmap, weave data governance into your development process, and monitor your data in production Whether you're a chief data officer or individual contributor, this book will show you how to manage up, get the buy-in you need to build data governance, find the right colleagues to co-create data governance, and keep them engaged for the long haul.

Discover easy ways to control your home with the powerful new Raspberry Pi hardware. Program short Python scripts that will detect changes in your home and react with the instructions you code. Use new add-on accessories to monitor a variety of measurements, from light intensity and temperature to motion detection and water leakage. Expand the base projects with your own custom additions to perfectly match your own home setup. Most projects in the book can be completed in under an hour, giving you more time to enjoy and tweak your autonomous creations. No breadboard or electronics knowledge required!Get to know the latest Raspberry Pi hardware, and create awesome automation solutions for home or work that don't require an electronics degree, cumbersome add-ons, or expensive third-party subscription services. Create easy to run Python scripts on your own that make your Pi do things that would have required a team of automation experts to build only a few years ago.Connect to and control popular home automation lighting systems from a Raspberry Pi. Trigger autonomous actions based on movement, temperature, and timer events. Power on your own computer and appliances using your voice. Remotely control infrared-enabled consumer electronics, create chatbots to retrieve personalized items of interest, and implement a temperature-monitoring room fan. These are just some of the projects that the book will show you how to make. Most projects can be completed and operational in under an hour, and do not require any messy schematics or a spaghetti bowl of wires and breadboard-attached circuits to operate.Control your home or office exactly the way you want instead of relying on an expensive mysterious box of third-party technology to do it for you.What You Need:Raspberry Pi (Pi 4 Model B or higher recommended) running Raspberry Pi OS

Make your good Python code even better by following proven and effective pythonic programming tips. Avoid logical errors that usually go undetected by Python linters and code formatters, such as frequent data look-ups in long lists, improper use of local and global variables, and mishandled user input. Discover rare language features, like rational numbers, set comprehensions, counters, and pickling, that may boost your productivity. Discover how to apply general programming patterns, including caching, in your Python code. Become a better-than-average Python programmer, and develop self-documented, maintainable, easy-to-understand programs that are fast to run and hard to break.Python is one of the most popular and rapidly growing modern programming languages. With more than 200 standard libraries and even more third-party libraries, it reaches into the software development areas as diverse as artificial intelligence, bioinformatics, natural language processing, and computer vision. Find out how to improve your understanding of the spirit of the language by using one hundred pythonic tips to make your code safer, faster, and better documented.This programming style manual is a quick reference of helpful hints and a random source of inspiration. Choose the suitable data structures for searching and sorting jobs and become aware of how a wrong choice may cause your application to be completely ineffective. Understand global and local variables, class and instance attributes, and information-hiding techniques. Create functions with flexible interfaces. Manage intermediate computation results by caching them in files and memory to improve performance and reliability. Polish your documentation skills to make your code easy for other programmers to understand. As a bonus, discover Easter eggs cleverly planted in the standard library by its developers.Polish, secure, and speed-up your Python applications, and make them easier to maintain by following pythonic programming tips.What You Need:You will need a Python interpreter (ideally, version 3.4 or above) and the standard Python library that usually comes with the interpreter.

This book contains 25 short programs that will challenge your understanding of Pandas. Like any big project, the Pandas developers had to make some design decisions that at times seem surprising. This book uses those quirks as a teaching opportunity. By understanding the gaps in your knowledge, you'll become better at what you do. Some of the teasers are from the author's experience shipping bugs to production, and some from others doing the same. Teasers and puzzles are fun, and learning how to solve them can teach you to avoid programming mistakes and maybe even impress your colleagues and future employers.Working with data is central to nearly everything we do, from disease contact tracing and analyzing health records to smart meters that track utility consumption behavior. With the power of Python's pandas library, you can process and analyze this data in a highly efficient and simple-to-understand way. And with 25 brain teasers designed to turn this technology's quirks into a teaching opportunity, you'll be honing your data science skills while having fun at the same time.Following a simple format, you'll challenge yourself and your understanding of pandas. Read a short Python program that uses pandas, try to guess the output, run the code yourself, and then go to the next page for an explanation of the solution. From common pitfalls and hidden gotchas to unexpected twists and turns, you'll deepen your understanding of pandas, learn to write more efficient code, and reduce the number of bugs in the software you develop. You may even impress your colleagues and your employers, both present and future.Learn the tricks of the trade with Python's pandas, in one of the most fun and creative ways around.What You Need:To run the code you'll need Python version 3.8 or upper and Pandas version 1.0 or upper installed.We use Python version 3.8.3 and Pandas version 1.0.5; the output might change in future versions.

We geeks love puzzles and solving them. The Python programming language is a simple one, but like all other languages it has quirks. This book uses those quirks as teaching opportunities via 30 simple Python programs that challenge your understanding of Python. The teasers will help you avoid mistakes, see gaps in your knowledge, and become better at what you do. Use these teasers to impress your co-workers or just to pass the time in those boring meetings. Teasers are fun!At the beginning of each chapter I'll show you a short Python program and will ask you to guess the output. The possible answers can be:Syntax errorExceptionHangSome output (e.g. `[1 2 3]`)Here's how to approach the puzzles. Read through the code. Before moving on to the answer and the explanation, go ahead and guess the output. After guessing the output, run the code and see the output yourself. Finally proceed to read the solution and the explanation. The puzzles are short enough to solve on a coffee break, so carry them with you, have fun, and share them with co-workers.People who make mistakes during the learning process learn better than people who don't. If you use this approach at work when fixing bugs, you'll find you enjoy bug hunting more and become a better developer after each bug you fix.Many of these puzzles are from the author's lessons learned (and others) of shipping bugs to production. He often uses the puzzles as quizzes during conferences and meetups, and they tend to create a buzz of excitement.What You Need:You need to know Python at some level and have experience programming with it.NOTE: The book uses Python version 3.8.2 to run the code; the output _could_ change in future versions.You will need a working Python environment, you can download it from "e;python.org"e;:https://www.python.org/downloads/.You will probably want a good IDE for python, two of the most popular ones are "e;Visual Studio Code"e;:https://code.visualstudio.com/ and "e;PyCharm"e;:https://www.jetbrains.com/pycharm/.

Use Swift to create your own apps that use GPS data, read sensor data from your iPhone, draw on maps, automate with geofences, and store augmented reality world maps. You'll have a great time without even noticing that you're learning. And even better, each of the projects is designed to be extended and eventually submitted to the App Store.

Elixir offers new paradigms, and challenges you to test in unconventional ways. Start with ExUnit: almost everything you need to write tests covering all levels of detail, from unit to integration, but only if you know how to use it to the fullest - we'll show you how. Explore testing Elixir-specific challenges such as OTP-based modules, asynchronous code, Ecto-based applications, and Phoenix applications. Explore new tools like Mox for mocks and StreamData for property-based testing. Armed with this knowledge, you can create test suites that add value to your production cycle and guard you from regressions.Write Elixir tests that you can be proud of. Dive into Elixir's test philosophy and gain mastery over the terminology and concepts that underlie good tests. Create and structure a comprehensive ExUnit test suite, starting from the basics, and build comprehensive test coverage that will provide safety for refactoring and confidence that your code performs as designed. Use tests to make your software more reliable and fault tolerant.Explore the basic tool set provided by ExUnit and Mix to write and organize your test suite. Test code built around different OTP functionality. Isolate your code through dependency injection and by using Mox. Write comprehensive tests for Ecto projects, covering Ecto as a database tool as well as a standalone data validation tool. Test Phoenix channels from end to end, including authentication and joining topics. Write Phoenix controller tests and understand the concepts of integration testing in Elixir. Learn property-based testing with StreamData from the author who wrote the library.Code with high confidence that you are getting the most out of your test suite, with the right tools that make testing your code a pleasure and a valuable part of your development cycle.What You Need:To get the most out of this book, you will need to have installed Elixir 1.8 or later and Erlang/OTP 21 or later. In order to complete the relevant chapters, you will also need Ecto 3.1 or later, EctoSQL 3.1 or later and Phoenix 1.3 or later.

Today's tech unicorns develop software differently. They've developed a way of working that lets them scale like an enterprise while working like a startup. These techniques can be learned. This book takes you behind the scenes and shows you how companies like Google, Facebook, and Spotify do it.

You've heard that quantum computing is going to change the world. Now you can check it out for yourself. Learn how quantum computing works, and write programs that run on the IBM Q quantum computer, one of the world's first functioning quantum computers.

Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty.