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Mastering Python

Rick van Hattem 著

更新時間：2021-07-16 11:10:49

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目錄(105章)

倒序

coverpage
Mastering Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
eBooks discount offers and more
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Chapter 1. Getting Started – One Environment per Project
Creating a virtual Python environment using venv
Bootstrapping pip using ensurepip
Installing C/C++ packages
Summary
Chapter 2. Pythonic Syntax Common Pitfalls and Style Guide
Code style – or what is Pythonic code?
Common pitfalls
Summary
Chapter 3. Containers and Collections – Storing Data the Right Way
Time complexity – the big O notation
Core collections
Advanced collections
Summary
Chapter 4. Functional Programming – Readability Versus Brevity
Functional programming
list comprehensions
dict comprehensions
set comprehensions
lambda functions
functools
itertools
Summary
Chapter 5. Decorators – Enabling Code Reuse by Decorating
Decorating functions
Decorating class functions
Decorating classes
Useful decorators
Summary
Chapter 6. Generators and Coroutines – Infinity One Step at a Time
What are generators?
Coroutines
Summary
Chapter 7. Async IO – Multithreading without Threads
Introducing the asyncio library
Summary
Chapter 8. Metaclasses – Making Classes (Not Instances) Smarter
Dynamically creating classes
Abstract classes using collections.abc
Automatically registering a plugin system
Order of operations when instantiating classes
Storing class attributes in definition order
Summary
Chapter 9. Documentation – How to Use Sphinx and reStructuredText
The reStructuredText syntax
The Sphinx documentation generator
Documenting code
Summary
Chapter 10. Testing and Logging – Preparing for Bugs
Using examples as tests with doctest
Testing with py.test
Mock objects
Logging
Summary
Chapter 11. Debugging – Solving the Bugs
Non-interactive debugging
Interactive debugging
Summary
Chapter 12. Performance – Tracking and Reducing Your Memory and CPU Usage
What is performance?
Timeit – comparing code snippet performance
cProfile – finding the slowest components
Line profiler
Improving performance
Memory usage
Performance monitoring
Summary
Chapter 13. Multiprocessing – When a Single CPU Core Is Not Enough
Multithreading versus multiprocessing
Hyper-threading versus physical CPU cores
Creating a pool of workers
Sharing data between processes
Remote processes
Summary
Chapter 14. Extensions in C/C++ System Calls and C/C++ Libraries
Introduction
Calling C/C++ with ctypes
CFFI
Native C/C++ extensions
Summary
Chapter 15. Packaging – Creating Your Own Libraries or Applications
Installing packages
Setup parameters
Packages
Entry points
Package data
Testing packages
C/C++ extensions
Wheels – the new eggs
Summary
Index 更新時間：2021-07-16 11:10:49

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Mastering Python