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Swift Development with Cocoa: Developing for the Mac and iOS App Stores
Ready to build apps for iPhone, iPad, and Mac now that Swift has landed? If you’re an experienced programmer who’s never touched Apple developer tools, this hands-on book shows you how to use the Swift language to make incredible iOS and OS X apps, using Cocoa and Cocoa Touch.
Learn how to use Swift in a wide... | | 60 Recipes for Apache CloudStack: Using the CloudStack Ecosystem
Planning to deploy and maintain a public, private, or hybrid cloud service? This cookbook’s handy how-to recipes help you quickly learn and install Apache CloudStack, along with several API clients, API wrappers, data architectures, and configuration management technologies that work as part of CloudStack’s ecosystem. ... | | R Packages
Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R... |
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Python Data Science Handbook: Essential Tools for Working with Data
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,... | | UX for Beginners: A Crash Course in 100 Short Lessons
Apps! Websites! Rubber Ducks! Naked Ninjas! This book has everything. If you want to get started in user experience design (UX), you've come to the right place: 100 self-contained lessons that cover the whole spectrum of fundamentals.
Forget dry, technical material. This book—based on the wildly popular UX... | | Advanced Analytics with Spark: Patterns for Learning from Data at Scale
In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example.
You’ll start with an... |
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