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 tables
27.6 x 21.9 x 0.9 cm, 0.56 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]