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:
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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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Paperback. Etat : New. 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). N° de réf. du vendeur LU-9781718501324
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