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).

"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

• AcknowledgementsIntroductionChapter 1: Getting StartedChapter 2: Making DecisionsChapter 3: Repeating Code: Definite LoopsChapter 4: Repeating Code: Indefinite LoopsChapter 5: Organizing Values Using ListsChapter 6: Designing Programs with FunctionsChapter 7: Reading and Writing FilesChapter 8: Organizing Values Using Sets and DictionariesChapter 9: Designing Algorithms with Complete SearchChapter 10: Big O and Program EfficiencyAfterword

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).

"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

• AcknowledgementsIntroductionChapter 1: Getting StartedChapter 2: Making DecisionsChapter 3: Repeating Code: Definite LoopsChapter 4: Repeating Code: Indefinite LoopsChapter 5: Organizing Values Using ListsChapter 6: Designing Programs with FunctionsChapter 7: Reading and Writing FilesChapter 8: Organizing Values Using Sets and DictionariesChapter 9: Designing Algorithms with Complete SearchChapter 10: Big O and Program EfficiencyAfterword