Key concepts and best practices for new software engineers — stuff critical to your workplace success that you weren’t taught in school. For new software engineers, knowing how to program is only half the battle. You’ll quickly find that many of the skills and processes key to your success are not taught in any school or bootcamp. The Missing README fills in that gap—a distillation of workplace lessons, best practices, and engineering fundamentals that the authors have taught rookie developers at top companies for more than a decade. Early chapters explain what to expect when you begin your career at a company. The book’s middle section expands your technical education, teaching you how to work with existing codebases, address and prevent technical debt, write production-grade software, manage dependencies, test effectively, do code reviews, safely deploy software, design evolvable architectures, and handle incidents when you’re on-call. Additional chapters cover planning and interpersonal skills such as Agile planning, working effectively with your manager, and growing to senior levels and beyond. You’ll learn: How to use the legacy code change algorithm, and leave code cleaner than you found it How to write operable code with logging, metrics, configuration, and defensive programming How to write deterministic tests, submit code reviews, and give feedback on other people’s code The technical design process, including experiments, problem definition, documentation, and collaboration What to do when you are on-call, and how to navigate production incidents Architectural techniques that make code change easier Agile development practices like sprint planning, stand-ups, and retrospectives This is the book your tech lead wishes every new engineer would read before they start. By the end, you’ll know what it takes to transition into the workplace–from CS classes or bootcamps to professional software engineering.

An Amazon Best Book of 2016 A celebration of the writing and editing life, as well as a look behind the scenes at some of the most influential magazines in America (and the writers who made them what they are). You might not know Terry McDonell, but you certainly know his work. Among the magazines he has top-edited: Outside, Rolling Stone, Esquire, and Sports Illustrated. In this revealing memoir, McDonell talks about what really happens when editors and writers work with deadlines ticking (or drinks on the bar). His stories about the people and personalities he’s known are both heartbreaking and bitingly funny—playing “acid golf” with Hunter S. Thompson, practicing brinksmanship with David Carr and Steve Jobs, working the European fashion scene with Liz Tilberis, pitching TV pilots with Richard Price. Here, too, is an expert’s practical advice on how to recruit—and keep—high-profile talent; what makes a compelling lede; how to grow online traffic that translates into dollars; and how, in whatever format, on whatever platform, a good editor really works, and what it takes to write well. Taking us from the raucous days of New Journalism to today’s digital landscape, McDonell argues that the need for clear storytelling from trustworthy news sources has never been stronger. Says Jeffrey Eugenides: “Every time I run into Terry, I think how great it would be to have dinner with him. Hear about the writers he's known and edited over the years, what the magazine business was like back then, how it's changed and where it's going, inside info about Edward Abbey, Jim Harrison, Annie Proulx, old New York, and the Swimsuit issue. That dinner is this book.”

WordPress can hold everything from a simple blog to a full-blown, dynamic website, but the program's rich feature set can be difficult to master. This jargon-free book walks through the process of creating a WordPress site, from beginners to experienced WordPress users.

You can easily create a professional-looking website with nothing more than an ordinary computer and some raw ambition. Want to build a blog, sell products, create forums, or promote an event? No problem! This friendly, jargon-free book gives you the techniques, tools, and advice you need to build a site and get it up on the Web. The important stuff you need to know: Master the basics. Learn HTML5, the language of the Web. Design good-looking pages. Use styles to build polished layouts. Get it online. Find a reliable web host and pick a good web address. Use time-saving tools. Learn free tools for creating web pages and tracking your visitors. Attract visitors. Make sure people can find your site through popular search engines like Google. Build a community. Encourage repeat visits with social media. Bring in the cash. Host Google ads, sell Amazon’s wares, or push your own products that people can buy via PayPal. Add pizzazz. Include audio, video, interactive menus, and a pinch of JavaScript.

An approachable, hands-on guide to understanding how computers work, from low-level circuits to high-level code. How Computers Really Work is a hands-on guide to the computing ecosystem: everything from circuits to memory and clock signals, machine code, programming languages, operating systems, and the internet. But you won't just read about these concepts, you'll test your knowledge with exercises, and practice what you learn with 41 optional hands-on projects. Build digital circuits, craft a guessing game, convert decimal numbers to binary, examine virtual memory usage, run your own web server, and more. Explore concepts like how to: Think like a software engineer as you use data to describe a real world concept Use Ohm's and Kirchhoff's laws to analyze an electrical circuit Think like a computer as you practice binary addition and execute a program in your mind, step-by-step The book's projects will have you translate your learning into action, as you: Learn how to use a multimeter to measure resistance, current, and voltage Build a half adder to see how logical operations in hardware can be combined to perform useful functions Write a program in assembly language, then examine the resulting machine code Learn to use a debugger, disassemble code, and hack a program to change its behavior without changing the source code Use a port scanner to see which internet ports your computer has open Run your own server and get a solid crash course on how the web works And since a picture is worth a thousand bytes, chapters are filled with detailed diagrams and illustrations to help clarify technical complexities. Requirements: The projects require a variety of hardware - electronics projects need a breadboard, power supply, and various circuit components; software projects are performed on a Raspberry Pi. Appendix B contains a complete list. Even if you skip the projects, the book's major concepts are clearly presented in the main text.

This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.

Joel, Apress, Blogs, and Blooks ...I was learning the hard way about how to be a publisher and probably spending way too much time looking at web sites and programming than I should have in response to that. Anyway, one day I came across this web site called , which was run by a guy with strong opinions and an unusual, clever writing style, along with a willingness to take on the conventional wisdom. In particular, he was writing this ongoing series about how bad most user interfaces were—mostly because programmers by and large knew, as Joel and I would say, using the same Yiddish–derived NYC vernacular that we both share, “bupkis” about what users really want. And I, like many, was hooked both by the series and the occasional random essay that Joel wrote. And then I had this epiphany: I'm a publisher, I like reading his stuff, why not turn it into a book?... Read the complete Foreword — Gary Cornell, Cofounder, Apress Since the release of the bestselling title Joel on Software in 2004, requests for a sequel have been relentless. So, we went back to the famed JoelonSoftware.com archives and pulled out a new batch of favorites, many of which have been downloaded over one million times. With Joel's newest book, More Joel on Software, you'll get an even better (not to mention updated) feast of Joel's opinions and impressions on software development, software design, running a software business, and so much more. This is a new selection of essays from the author's web site, http://www.joelonsoftware.com. Joel Spolsky started his weblog in March 2000 in order to offer his insights, based on years of experience, on how to improve the world of programming. This weblog has become infamous among the programming world, and is linked to more than 600 other web sites and translated into 30+ languages! Spolsky's extraordinary writing skills, technical knowledge, and caustic wit have made him a programming guru. With the success of Joel on Software, there has been a strong demand for additional gems and advice, and this book is the answer to those requests. Containing a collection of all–new articles from the original, More Joel on Software has even more of an edge than the original, and the tips for running a business or managing people have far broader application than the software industry. We feel it is safe to say that this is the most useful book you will buy this year.