Learn to Code by Solving Problems
A Python Programming Primer
Published on 21. June 2021
Book
Paperback/Softback
336 pages
978-1-7185-0132-4 (ISBN)
Description
Learn to Program by Solving Problems is a practical introduction to programming using Python, one of the world's most popular programming languages. The book emphasises problem-solving strategies that teach readers not only the mechanics of coding, but how to think like savvy programmers. Teaches readers how to use Python to solve short, situational problems (for example, how to predict when a gambler will run out of money while playing slot machines; how to create a programme to track cell phone data usage; how to set up a system of identifying the popularity of berths in a parking lot).
Reviews / Votes
"The book is an exceptionally well-written technical Python book for beginners that uses active learning techniques. If you're a beginner to intermediate-level coder, this book will significantly improve your Python skills. It's easy to read, and solving the problems is fun and satisfying."-Christian Mayer, Finxter
"Best resource I've encountered for learning to code . . . If you are serious about learning Python, there is absolutely no better resource to get started. One chapter, one practice problem at a time, you will be amazed with the progress you make if you stick with it."
-Jun Tsuru, Amazon Reviewer
More details
Language
English
Place of publication
San Francisco
United States
Dimensions
Height: 227 mm
Width: 182 mm
Thickness: 25 mm
Weight
653 gr
ISBN-13
978-1-7185-0132-4 (9781718501324)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
06/2021
No Starch Press
€31.99
Available for download
Person
Dr. Daniel Zingaro is an award-winning Associate Professor of Computer Science in the teaching stream at University of Toronto Mississauga, and is internationally recognized for his expertise in Active Learning. He is also the author of Algorithmic Thinking (No Starch Press, 2021).
Content
Acknowledgements
Introduction
Chapter 1: Getting Started
Chapter 2: Making Decisions
Chapter 3: Repeating Code: Definite Loops
Chapter 4: Repeating Code: Indefinite Loops
Chapter 5: Organizing Values Using Lists
Chapter 6: Designing Programs with Functions
Chapter 7: Reading and Writing Files
Chapter 8: Organizing Values Using Sets and Dictionaries
Chapter 9: Designing Algorithms with Complete Search
Chapter 10: Big O and Program Efficiency
Afterword
Introduction
Chapter 1: Getting Started
Chapter 2: Making Decisions
Chapter 3: Repeating Code: Definite Loops
Chapter 4: Repeating Code: Indefinite Loops
Chapter 5: Organizing Values Using Lists
Chapter 6: Designing Programs with Functions
Chapter 7: Reading and Writing Files
Chapter 8: Organizing Values Using Sets and Dictionaries
Chapter 9: Designing Algorithms with Complete Search
Chapter 10: Big O and Program Efficiency
Afterword