Code the Classics Volume 1 not only tells the stories of some of the seminal video games of the 1970s and 1980s, but shows you how to create your own games inspired by them, following examples programmed by Raspberry Pi founder Eben Upton. In this book, you'll learn how to run and edit the games in this book by installing Python, Pygame Zero, and an IDE. You'll also: Get game design tips and tricks from the masters Learn how to code your own games with Pygame Zero Explore the code listings and find out how they work You'll meet these vintage-inspired games, and learn from their code in between rounds of play: Boing!: all it took was a couple of lines and a dot, and gamers would be queuing up to play. Cavern: Enduringly popular, the platform game genre is still packed with creative possibilities. Infinite Bunner: Play around with the benefits that a top-down perspective can lend to the classic platform genre. Myriapod: Some shooters confine the gameplay to a single screen while limiting the player's movement. Restrictions can build challenge and difficulty, making for truly addictive gaming. Substitute Soccer: Top-down games of pinball-style soccer built a huge cult following and kicked off a sports genre that's still going strong.

Take inspiration from the some of the greatest video games of the 1980s and learn how to write your own modern classics Code the Classics Volume II not only tells the stories of some of the seminal video games of the 1980s, but shows you how to create your own games inspired by them, following examples programmed by Raspberry Pi founder Eben Upton. In this book, you'll learn how to run and edit the games in this book by installing Python, Pygame Zero, and an IDE. You'll also: Get game design tips and tricks from the masters. Understand the fundamental tasks needed for every game: display images, play sound effects and receive inputs from the keyboard or a game controller. Learn how to code your own games with Pygame Zero, a library that helps automate those tasks. Explore the code listings and find out how they work. You'll meet these vintage-inspired games, and learn from their code in between rounds of play: Avenger: fly across a scrolling landscape while you save humans from malevolent aliens. Beat Streets: fight your way through a level, and defeat a notorious crime boss. Eggzy: collect gems and survive as long as possible before time runs out. Leading Edge: Race a car on a pseudo-3d race track. Kinetix: Break bricks with your paddle, and use powerups to avoid various menaces.

Widely considered one of the best practical guides to programming, Steve McConnell’s original CODE COMPLETE has been helping developers write better software for more than a decade. Now this classic book has been fully updated and revised with leading-edge practices—and hundreds of new code samples—illustrating the art and science of software construction. Capturing the body of knowledge available from research, academia, and everyday commercial practice, McConnell synthesizes the most effective techniques and must-know principles into clear, pragmatic guidance. No matter what your experience level, development environment, or project size, this book will inform and stimulate your thinking—and help you build the highest quality code. Discover the timeless techniques and strategies that help you: Design for minimum complexity and maximum creativity Reap the benefits of collaborative development Apply defensive programming techniques to reduce and flush out errors Exploit opportunities to refactor—or evolve—code, and do it safely Use construction practices that are right-weight for your project Debug problems quickly and effectively Resolve critical construction issues early and correctly Build quality into the beginning, middle, and end of your project

This title shows the process of cleaning code. Rather than just illustrating the end result, or just the starting and ending state, the author shows how several dozen seemingly small code changes can positively impact the performance and maintainability of an application code base.

This volume continues Sadowski’s biography of the famed Mad cartoonist. It includes scores of letters between Wolverton and his editors and publishers and excerpts from his personal diaries, providing documentary insight not only into Wolverton’s day-to-day life and career, but also the inner workings of the early comic book industry. It is also chock full of Wolverton’s comics stories from this period, including 17 science-fiction and horror tales fully restored and never before collected in a single volume.

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. Summary Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project. About the book Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more. What's inside Recursion, memoization, and bit manipulation Search, graph, and genetic algorithms Constraint-satisfaction problems K-means clustering, neural networks, and adversarial search About the reader For intermediate Java programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. Table of Contents 1 Small problems 2 Search problems 3 Constraint-satisfaction problems 4 Graph problems 5 Genetic algorithms 6 K-means clustering 7 Fairly simple neural networks 8 Adversarial search 9 Miscellaneous problems 10 Interview with Brian Goetz