Learn to Code by Solving Problems A Python Programming Primer

by Zingaro, Daniel

• ISBN13: 9781718501324
• ISBN10: 1718501323
• eBook ISBN(s): 9781718501331
• Format: Paperback
• Copyright: 2021-06-21
• Publisher: No Starch Press
• More Book Details

About This Book

Learn to Code by Solving Problems: A Python Programming Primer

This book is a comprehensive guide designed to help beginners learn Python programming through problem-solving. Written by Daniel Zingaro, it offers an engaging and interactive approach to coding, making it perfect for those new to programming.

Who Uses It?

Primarily, this book is used by beginners and intermediate-level coders who want to improve their Python skills. It's an excellent resource for anyone looking to start their coding journey, whether they are students, educators, or professionals interested in learning Python.

History and Editions

Published in 2021 by No Starch Press, "Learn to Code by Solving Problems" has been a valuable resource for those seeking to learn Python. The book is structured to provide a clear and step-by-step approach to coding, using real-world problems from coding competitions to make learning fun and practical.

Author and Other Works

Daniel Zingaro is the author of "Learn to Code by Solving Problems." He is known for his ability to explain complex concepts in a simple and engaging manner, making this book an exceptional choice for beginners. While this is his primary work in educational resources, his expertise in teaching programming concepts shines through in this primer.

Key Features

• Active Learning Techniques: The book uses active learning techniques to keep the reader engaged and motivated.
• Real-World Problems: It includes interesting problems drawn from real coding competitions, making learning more relevant and practical.
• Comprehensive Coverage: The book covers essential topics in Python programming, from getting started to advanced concepts like big O and program efficiency.
• Easy to Read: The text is designed to be easy to read and understand, making it accessible to a wide range of learners.

Detailed Information

ISBNs and Formats

• Paperback: ISBN-13: 9781718501324
• eTextbook: Available through VitalSource (ISBN: 9781718501331)

Publication Details

• Publisher: No Starch Press
• Publication Date: June 21, 2021
• Number of Pages: 336
• Language: English

Other Editions and Formats

While there are no other editions of this specific book, it is available in different formats:

• eTextbook: VitalSource offers an eTextbook version with built-in study tools like highlights and read-aloud features[2].
• Related ISBNs:
• 9781718501331 (eTextbook)
• 9781718501324 (Paperback)

This detailed information section provides a quick reference for all the available formats and sources for "Learn to Code by Solving Problems," making it easier to find and access the book in the preferred format.

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Author Biography

Dr. Daniel Zingaro is assistant professor of computation sciences and award-winning teacher at the University of Toronto. His main area of research is computer science education research, where he studies how students learn (and sometimes don't learn) computer science material.

Table of Contents

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