Добавить в закладки
Наш форум
Правила Litmy.ru
Мы в Вконтакте
Подписка на RSS
Для правообладателей
Поиск книг:
Разделы сайта
Авторизация
Регистрация



Реклама


Название: Learn to Code by Solving Problems: A Python Programming Primer
Автор: Daniel Zingaro
Издательство: No Starch Press
Год: 2021
Формат: epub/pdf(conv.)
Страниц: 336
Размер: 10 Mb
Язык: English

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



pdf(true), mobi, epub (49.9 MB)

https://cloud.mail.ru/public/Y7eW/SJcwByCLQ

Автор: buratino 17-06-2021, 00:36 | Напечатать
 
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.




 Litmy.ru  ©2020-2023     При использовании материалов библиотеки обязательна обратная активная ссылка    Политика конфиденциальности