Learn to Code by Solving Problems

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 emphasizes problem-solving strategies that teach readers not only the mechanics of coding, but how to think like savvy programmers.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 codeBy 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.

“"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”

"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

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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