Program a graphical adventure game in this hands-on, beginner-friendly introduction to coding in the Python language. Launch into coding with Mission Python, a space-themed guide to building a complete computer game in Python. You´ll learn programming fundamentals like loops, strings, and lists as you build Escape!, an exciting game with a map to explore, items to collect, and tricky logic puzzles to solve. As you work through the book, you´ll build exercises and mini-projects, like making a spacewalk simulator and creating an astronaut´s safety checklist that will put your new Python skills to the test. You´ll learn how to use Pygame Zero, a free resource that lets you add graphics and sound effects to your creations, and you´ll get useful game-making tips, such as how to design fun puzzles and intriguing maps. Before you know it, you´ll have a working, awesome game to stump your friends with (and some nifty coding skills, too!). You can follow this book using a Raspberry Pi or a Microsoft Windows PC, and the 3D graphics and sound effects you need are provided as a download.
The Complete Do-It-Yourself Kit for Creating Powerful, Interactive Presentations Master presenter Gene Zelazny has shown thousands of professionals around the world how to design and deliver successful presentations. Now, he combines his bestselling Say It With Charts with his Say It With Charts Workbook into one comprehensive volume-complete with an all-new CD that lets you download and implement Zelazny´s potent PowerPoint charts, graphs, and visuals! This first-of-its-kind Toolkit reveals time-tested tips for putting your message in visual form and translating data into eye-catching, persuasive charts and multimedia presentations. Zelazny offers step-by-step advice on selecting and preparing the right charts, emphasizing key points, and encouraging your audience become active participants. He also shows you how to use today´s digital technologies to create easy-to-follow, attention-grabbing visuals. Nowhere else will you find such comprehensive, authoritative information on: * The different types of charts for any presentation * Audience-tested techniques for communicating information * Hands-on recommendations for lettering size, color, appropriate chart types, and more * Techniques for dramatic eVisuals using animation, scanned images, sound video, and links to pertinent websites * Tactics for customizing graphics to specific audiences
Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you´ll need to accomplish 80 percent of modern data tasks. Lander´s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You´ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you´ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you´ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you´re done, you won´t just know how to write R programs, you´ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R´s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at for convenient access to downloads, updates, and corrections as they become available.