Python by Example Learning to Program in 150 Challenges A collection of progressively more complex Python programming challenges to help students learn to code in a naturally engaging way. Nichola Lacey (Author) 9781108716833, Cambridge University Press Paperback / softback, published 6 June 2019 191 pages, 140 b/w illus. 10 tables27.6 x 21.9 x 0.9 cm, 0.549 kg Python is today's fastest growing programming language. This engaging and refreshingly different guide breaks down the skills into clear step-by-step chunks and explains the theory using brief easy-to-understand language. Rather than bamboozling readers with pages of mind-numbing technical jargon, this book includes 150 practical challenges, putting the power in the reader's hands. Through creating programs to solve these challenges the reader will quickly progress from mastering the basics to confidently using subroutines, a graphical user interface, and linking to external text, csv and SQL files. This book is perfect for anyone who wants to learn how to program with Python. In particular, students starting out in computer science and teachers who want to improve their confidence in Python will find here a set of ready-made challenges for classroom use. Introduction Downloading Python Some tips Part I. Learning Python: Challenges 1–11. The basics Challenges 12–19. If statements Challenges 20–26. Strings Challenges 27–34. Maths Challenges 35–44. For loop Challenges 45–51. While loop Challenges 52–59. Random Challenges 60–68. Turtle graphics Challenges 69–79. Tuples, lists and dictionaries Challenges 80–87. More string manipulation Challenges 88–95. Numeric arrays Challenges 96–103. 2D lists and dictionaries Challenges 105–110. Reading and writing to a text file Challenges 111–117. Reading and writing to a .csv File Challenges 118–123. Subprograms Challenges 124–132. Tkinter GUI Challenges 133–138. More Tkinter Challenges 139–145. SQLite Part II. Chunky Challenges: 146 – Shift code 147 – Mastermind 148 – Passwords 149 – Times tables (GUI) 150 – Art gallery What next? Glossary Index. Subject Areas: Computer science [UY], Web programming [UMW], Computer programming / software development [UM]
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