The Python Workbook (2^nd Ed., 2nd ed. 2019) A Brief Introduction with Exercises and Solutions Texts in Computer Science Series

This student-friendly textbook encourages the development of programming skills through active practice by focusing on exercises that support hands-on learning. The Python Workbook provides a compendium of 186 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or highlight a specific point of Python syntax.

This enhanced new edition has been thoroughly updated and expanded with additional exercises, along with concise introductions that outline the core concepts needed to solve them. The exercises and solutions require no prior background knowledge, beyond the material covered in a typical introductory Python programming course.

Undergraduate students enrolled in their first programming course and wishing to enhance their programming abilities will find the exercises and solutions provided in this book to be ideal for their needs.

Part I: Exercises

Introduction to Programming

Decision Making

Repetition

Functions

Lists

Dictionaries

Files and Exceptions

Recursion

Part II: Solutions

Solutions to the Introduction to Programming Exercises

Solutions to the Decision Making Exercises

Solutions to the Repetition Exercises

Solutions to the Function Exercises

Solutions to the List Exercises

Solutions to the Dictionary Exercises

Solutions to the File and Exception Exercises

Solutions to the Recursion Exercises

Dr. Ben Stephenson is a Teaching Professor in the Department of Computer Science at the University of Calgary, AB, Canada. His other publications include the Springer textbook Fundamentals of Discrete Math for Computer Science: A Problem-Solving Primer.

Substantially updated and expanded new edition, now featuring concise introductions to each chapter outlining the core concepts needed to solve the exercises

Presents numerous exercises, many of which with complete solutions

Supports the solutions with additional notes that explain the technique used and highlight specific points of Python syntax

Includes a mixture of classic computer science exercises and exercises that make connections to other disciplines