About the Technology

Initially Guido van Rossum's 1989 holiday project, Python has grown into an amazing computer language. It's a joy to learn and read, and powerful enough to handle everything from low-level system resources to advanced applications like deep learning. Elegantly simple and complete, it also boasts a massive ecosystem of libraries and frameworks. Python programmers are in high demand/mdash;you can't afford not to be fluent!

About the Book

The Quick Python Book, Third Edition is a comprehensive guide to the Python language by a Python authority, Naomi Ceder. With the personal touch of a skilled teacher, she beautifully balances details of the language with the insights and advice you need to handle any task. Extensive, relevant examples and learn-by-doing exercises help you master each important concept the first time through. Whether you're scraping websites or playing around with nested tuples, you'll appreciate this book's clarity, focus, and attention to detail.

What's Inside

• Clear coverage of Python 3
• Core libraries, packages, and tools
• In-depth exercises
• Five new data science-related chapters

About the Reader

Written for readers familiar with programming concepts--no Python experience assumed.

About the Author

Naomi Ceder is chair of the Python Software Foundation. She has been learning, using, and teaching Python since 2001.

Table of Contents

PART 1 - STARTING OUT

1. About Python

2. Getting started

3. The Quick Python overview

PART 2 - THE ESSENTIALS

4. The absolute basics

5. Lists, tuples, and sets

6. Strings

7. Dictionaries

8. Control flow

9. Functions

10. Modules and scoping rules

11. Python programs

12. Using the filesystem

13. Reading and writing files

14. Exceptions

PART 3 - ADVANCED LANGUAGE FEATURES

15. Classes and object-oriented programming

16. Regular expressions

17. Data types as objects

18. Packages

19. Using Python libraries

PART 4 - WORKING WITH DATA

20. Basic file wrangling

21. Processing data files

22. Data over the network

23. Saving data

24. Exploring data