Practical Programming ― An Introduction to Computer Science Using Python 3.6

Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language features in Python 3.6.

No programming experience required! Incremental examples show you the steps and missteps that happen while developing programs, so you know what to expect when you tackle a problem on your own. Inspired by "How to Design Programs" (HtDP), discover a five-step recipe for designing functions, which helps you learn the concepts--and becomes an integral part of writing programs.

In this detailed introduction to Python and to computer programming, find out exactly what happens when your programs are executed. Work with numbers, text, big data sets, and files using real-world examples. Create and use your own data types. Make your programs reliable, work with databases, download data from the web automatically, and build user interfaces. As you use the fundamental programming tools in this book, you'll see how to document and organize your code so that you and other programmers can more easily read and understand it. This new edition takes advantage of Python 3.6's new features, including type annotations on parameters, return types and variable declarations, and changes to string formatting.

Most importantly, you'll learn how to think like a professional programmer.

What You Need:

You'll need to download Python 3.6, available from https://python.org.With that download comes IDLE, the editor we use for writing andrunning Python programs. (If you use Linux, you may need to installPython 3.6 and IDLE separately.)

Paul Gries has been teaching in the Department of Computer Science at the University of Toronto for more than 15 years. During his time at UofT, Paul has won numerous teaching awards, has co-authored two textbooks, has been a leader in departmental curriculum design and renewal, and with Jennifer Campbell, got to teach Python to tens of thousands of students in a MOOC.

Jennifer Campbell is a teaching stream professor in Computer Science at the University of Toronto. In 2014, she received the Faculty of Arts and Science Outstanding Teaching Award. Jen engages in computer science education research, studying student experiences, factors for success, and the effectiveness of various course formats, including flipped and online courses.

Jason Montojo is a veteran software developer with 19 years of professional experience. He specializes in applied software archaeology and has mentored dozens of students as part of the Google Summer of Code and Software Carpentry programs.