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).

About the Author
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).

Reviews
"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



Book Information
ISBN 9781718501324
Author Daniel Zingaro
Format Paperback
Page Count 336
Imprint No Starch Press,US
Publisher No Starch Press,US