Book Image

Mastering Python 2E - Second Edition

By : Rick van Hattem
5 (1)
Book Image

Mastering Python 2E - Second Edition

5 (1)
By: Rick van Hattem

Overview of this book

Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community. If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges
Table of Contents (21 chapters)
19
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20
Index

Native C/C++ extensions

The libraries that we have used so far only showed us how to access a C/C++ library within our Python code. Now we are going to look at the other side of the story: how C/C++ functions/modules within Python are actually written and how modules such as cPickle and cProfile are created.

A basic example

Before we can actually start with writing and using native C/C++ extensions, we have a few prerequisites. First of all, we need the compiler and Python headers; the instructions at the beginning of this chapter should have taken care of this for us. After that, we need to tell Python what to compile. The setuptools package mostly takes care of this, but we do need to create a setup.py file:

import pathlib
import setuptools

# Get the current directory
PROJECT_PATH = pathlib.Path(__file__).parent

sum_of_squares = setuptools.Extension('sum_of_squares', sources=[
    # Get the relative path to...