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Programming Skills for Data Science
Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Leading instructors Michael Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems, including the widely used R language and Git version-control system.
Chapters and Articles
Guides you through compiling and running three typical Java programs—a console application, a graphical application, and an applet—using the plain JDK, a Java-enabled text editor, and a Java IDE.
Everything you need to know about programming with the Google Daydream controller: from tapping into the various sensors, to using the event system to grab and toss objects in 3D space.
Game designer Zack Hiwiller discusses examples where an examination of a game is meaningless outside the social and/or cultural setting of its players.
Learn how to incorporate governance into your strategic cybersecurity plan.
Examines ways to recognize particular conditions and have your JavaScript program act in a prescribed way as a result.
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