Название книги: Introducing Python: Modern Computing in Simple Packages
Год: 2016
Автор: Билл Любанович
Страниц: 476
Язык: Английский
Формат: pdf, mobi, epub, fb2
Размер: 7.1 MB, 2.3 MB, 3.4 MB, 8.2 MB

Описание книги “Introducing Python: Modern Computing in Simple Packages”:

This book will introduce you to the Python programming language. It’s aimed at beginning programmers, but even if you’ve written programs before and just want to add Python to your list of languages, Introducing Python will get you started.
It’s an unhurried introduction, taking small steps from the basics to more involved and varied topics. I mix cookbook and tutorial styles to explain new terms and ideas, but not too many at once. Real Python code is included early and often.
Even though this is an introduction, I include some topics that might seem advanced,
such as NoSQL databases and message-passing libraries. I chose these because they can solve some problems better than standard solutions. You’ll download and install external Python packages, which is good to know when the “batteries included” with Python don’t fit your application. And it’s fun to try something new.
I also include some examples of what not to do, especially if you’ve programmed in other languages and try to adapt those styles to Python. And I won’t pretend that Python is perfect; I’ll show you what to avoid.

This book is for anybody interested in learning what seems to be emerging as the world’s most popular computing language, whether or not you have learned any programming before.


1. A Taste of Py                                                                                                                     
2. Py Ingredients: Numbers, Strings, and Variables                                                     
3. Py Filling: Lists, Tuples, Dictionaries, and Sets                                                         
4.Py Crust: Code Structures                                                                                               
5. Py Boxes: Modules, Packages, and Programs                                                                6. Oh Oh: Objects and Classes                                   
7. Mangle Data Like a Pro
8. Data Has to Go Somewhere
9. The Web, Untangled
10. Systems
11. Concurrency and Networks
12. Be a Pythonista
A. Py Art
B. Py at Work
C. Py Sci
D. Install Python 3
E. Answers to Exercises
F. Cheat Sheets

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