Learn to Code by Solving Problems
A Python Programming Primer
$77.59
- Paperback
336 pages
- Release Date
14 September 2021
Summary
Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer.
Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build…
Book Details
| ISBN-13: | 9781718501324 |
|---|---|
| ISBN-10: | 1718501323 |
| Author: | Daniel Zingaro |
| Publisher: | No Starch Press,US |
| Imprint: | No Starch Press,US |
| Format: | Paperback |
| Number of Pages: | 336 |
| Release Date: | 14 September 2021 |
| Weight: | 642g |
| Dimensions: | 177mm x 234mm |
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Critics Review
“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
Daniel Zingaro
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).
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