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Learn to Code by Solving Problems: A Python Programming Primer - Softcover

Zingaro, Daniel

  • 3.94 out of 5 stars
    34 ratings by Goodreads
 
9781718501324: Learn to Code by Solving Problems: A Python Programming Primer
Softcover
ISBN 10: 1718501323 ISBN 13: 9781718501324
Publisher: No Starch Press, 2021

Synopsis

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 your programming skills as you go.
 
Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works.
 
You’ll learn how to:

  • Run Python code, work with strings, and use variables
  • Write programs that make decisions
  • Make code more efficient with while and for loops
  • Use Python sets, lists, and dictionaries to organize, sort, and search data
  • Design programs using functions and top-down design
  • Create complete-search algorithms and use Big O notation to design more efficient code
    •  
    By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.
     

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    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).

    "About this title" may belong to another edition of this title.

    Publisher
    No Starch Press
    Publication date
    2021
    Language
    English
    ISBN 10 
    1718501323
    ISBN 13 
    9781718501324
    Binding
    Paperback
    Number of pages
    336
    Rating
    • 3.94 out of 5 stars
      34 ratings by Goodreads