Description - Learn to Code by Solving Problems: A Python Programming Primer by Daniel Zingaro
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 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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