Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Secret Recipes of the Python Ninja

You're reading from   Secret Recipes of the Python Ninja Over 70 recipes that uncover powerful programming tactics in Python

Arrow left icon
Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788294874
Length 380 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Cody Jackson Cody Jackson
Author Profile Icon Cody Jackson
Cody Jackson
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Working with Python Modules FREE CHAPTER 2. Utilizing the Python Interpreter 3. Working with Decorators 4. Using Python Collections 5. Generators, Coroutines, and Parallel Processing 6. Working with Python's Math Module 7. Improving Python Performance with PyPy 8. Python Enhancement Proposals 9. Documenting with LyX 10. Other Books You May Enjoy

What this book covers

Chapter 1, Working with Python Modules, looks at Python packages, modules, and namespaces, using virtual environments, and wrapping up Python code for distribution.

Chapter 2, Utilizing the Python Interpreter, explores Python command-line options, customizing interactive sessions, working with Python on Windows OS, and alternative Python interactive shells.

 Chapter 3, Working with Decorators, reviews Python functions and shows how to improve them with decorators.

Chapter 4, Using Python Collections, covers containers and takes an in-depth look at the collections available in Python.

Chapter 5, Generators, Coroutines, and Parallel Processing, focuses on iteration within Python and how it works with generators and then it moves into concurrent and parallel processing.

Chapter 6, Working with Python's Math Module, takes a deep dive into how Python implements a variety of mathematical operations.

Chapter 7, Improving Python Performance with PyPy, outlines improving Python performance using just-in-time compilation.

Chapter 8, Python Enhancement Proposals, discusses how improvements to the Python language are handled and looks at several current proposals.

Chapter 9, Documenting with LyX, demonstrates different techniques and tools to document code.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime