Python is a powerful programming language that’s easy to learn and fun to play with. But once you’ve gotten a handle on the basics, what do you do next? Python Playground is a collection of imaginative programming projects that will inspire you to use Python to make art and music, build simulations of real-world phenomena, and interact with hardware like the Arduino and Raspberry Pi. You’ll learn to use common Python tools and libraries like numpy, matplotlib, and pygame to do things like: Generate Spirograph-like patterns using parametric equations and the turtle module Create music on your computer by simulating frequency overtones Translate graphical images into ASCII art Write an autostereogram program that produces 3D images hidden beneath random patterns Make realistic animations with OpenGL shaders by exploring particle systems, transparency, and billboarding techniques Construct 3D visualizations using data from CT and MRI scans Build a laser show that responds to music by hooking up your computer to an Arduino Programming shouldn’t be a chore. Have some solid, geeky fun with Python Playground.

GNU make is the most widely used build automation tool, but it can be challenging to master and its terse language can be tough to parse for even experienced programmers. Those who run into difficulties face a long, involved struggle, often leaving unsolved problems behind and GNU make's vast potential untapped. The GNU Make Book demystifies GNU make and shows you how to use its best features. You'll find a fast, thorough rundown of the basics of variables, rules, targets, and makefiles. Learn how to fix wastefully long build times and other common problems, and gain insight into more advanced capabilities, such as complex pattern rules. With this utterly pragmatic manual and cookbook, you'll make rapid progress toward becoming a more effective user. GNU make is known for being tricky to use, but it doesn't have to be. If you're looking for a deeper understanding of this indispensable tool, you'll find The GNU Make Book to be an indispensable guide.

Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics.