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Learn to Code by Solving Problems

A Python Programming Primer

Daniel Zingaro
Livre broché | Anglais
46,95 €
+ 93 points
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Description

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.

    Spécifications

    Parties prenantes

    Auteur(s) :
    Editeur:

    Contenu

    Nombre de pages :
    336
    Langue:
    Anglais

    Caractéristiques

    EAN:
    9781718501324
    Date de parution :
    21-06-21
    Format:
    Livre broché
    Format numérique:
    Trade paperback (VS)
    Dimensions :
    178 mm x 234 mm
    Poids :
    635 g

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