Paul Gries - Practical Programming
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Abstract: 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 thats 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, youll 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 3.6s new features, including type annotations on parameters, return types and variable declarations, and changes to string formatting. Most importantly, youll learn how to think like a professional programmer. What You Need: Youll 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.)
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Copyright 2017 The Pragmatic Programmers, LLC. This book is licensed to the individual who purchased it. We don't copy-protect it because that would limit your ability to use it for your own purposes. Please don't break this trustyou can use this across all of your devices but please do not share this copy with other members of your team, with friends, or via file sharing services. Thanks.
Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and The Pragmatic Programmers, LLC was aware of a trademark claim, the designations have been printed in initial capital letters or in all capitals. The Pragmatic Starter Kit, The Pragmatic Programmer, Pragmatic Programming, Pragmatic Bookshelf and the linking g device are trademarks of The Pragmatic Programmers, LLC.
Every precaution was taken in the preparation of this book. However, the publisher assumes no responsibility for errors or omissions, or for damages that may result from the use of information (including program listings) contained herein.
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I wish I could go back in time and give this book to my 10-year-old self when I first learned programming! Its so much more engaging, practical, and accessible than the dry introductory programming books that I tried (and often failed) to comprehend as a kid. I love the authors hands-on approach of mixing explanations with code snippets that students can type into the Python prompt.
| Philip Guo |
| Creator of Online Python Tutor (http://www.pythontutor.com), Assistant Professor, Department of Cognitive Science, UCSD |
Practical Programming delivers just what it promises: a clear, readable, usable introduction to programming for beginners. This isnt just a guide to hacking together programs. The book provides foundations to lifelong programming skills: a crisp, consistent, and visual model of memory and execution and a design recipe that will help readers produce quality software.
| Steven Wolfman |
| Professor of Teaching, Department of Computer Science, University of British Columbia |
This excellent text reflects the authors many years of experience teaching Python to beginning students. Topics are presented so that each leads naturally to the next, and common novice errors and misconceptions are explicitly addressed. The exercises at the end of each chapter invite interested students to explore computer science and programming language topics.
| Kathleen Freeman |
| Director of Undergraduate Studies, Department of Computer and Information Science, University of Oregon |
Acknowledgments
This book would be confusing and riddled with errors if it werent for a bunch of awesome people who patiently and carefully read our drafts.
We had a great team of people provide technical reviews for this edition and previous editions: in no particular order, Frank Ruiz, Stefan Turalski, Stephen Wolff, Peter W.A. Wood, Steve Wolfman, Adam Foster, Owen Nelson, Arturo Martnez Peguero, C. Keith Ray, Michael Szamosi, David Gries, Peter Beens, Edward Branley, Paul Holbrook, Kristie Jolliffe, Mike Riley, Sean Stickle, Tim Ottinger, Bill Dudney, Dan Zingaro, and Justin Stanley. We also appreciate all the people who reported errata: your feedback was invaluable.
Greg Wilson started us on this journey when he proposed that we write a textbook, and he was our guide and mentor as we worked together to create the first edition of this book.
Finally, we would like to thank our editor Tammy Coron, who set up a workflow that made the tight timeline possible. Tammy, your gentle nudges kept us on track (squirrel!) and helped us complete this third edition in record time.
Preface
This book uses the Python programming language to teach introductory computer science topics and a handful of useful applications. Youll certainly learn a fair amount of Python as you work through this book, but along the way youll also learn about issues that every programmer needs to know: ways to approach a problem and break it down into parts, how and why to document your code, how to test your code to help ensure your program does what you want it to, and more.
We chose Python for several reasons:
It is free and well documented. In fact, Python is one of the largest and best-organized open source projects going.
It runs everywhere. The reference implementation, written in C, is used on everything from cell phones to supercomputers, and its supported by professional-quality installers for Windows, macOS, and Linux.
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