Articles liés à Learn to Code by Solving Problems: A Python Programming...

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

Zingaro, Daniel

 
9781718501324: Learn to Code by Solving Problems: A Python Programming Primer
Couverture souple
ISBN 10 : 1718501323 ISBN 13 : 9781718501324
Editeur : 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.
     

    Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos de l'auteur

    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).

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    No Starch Press
    Date d'édition
    2021
    Langue
    anglais
    ISBN 10 
    1718501323
    ISBN 13 
    9781718501324
    Reliure
    Broché
    Nombre de pages
    336
    Coordonnées du fabricant
    BOOKS etc..
    cs@booksetc.co.uk

    BOOKS etc.
    Aldershot
    Royaume-Uni
    Personne responsable
    eucomplyOÜ
    hello@eucompliancepartner.com

    Pärnu mnt. 139b-14
    Tallinn
    11317
    Estonie