Summary
This third revision of 's popular
The Quick Python Book
offers a clear, crisp updated introduction to the elegant Python programming
language and its famously easy-to-read syntax. Written for programmers new to
Python, this latest edition includes new exercises throughout. It covers
features common to other languages concisely, while introducing Python's
comprehensive standard functions library and unique features in detail.
Foreword by Nicholas Tollervey, Python Software Foundation.
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
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