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

Calling C/C++ with ctypes

The ctypes library makes it easily possible to call functions from C libraries, but you do need to be careful with memory access and data types. Python is generally very lenient in memory allocation and type-casting; C is, most definitely, not that forgiving.

Platform-specific libraries

Even though all platforms will have a standard C library available somewhere, the location and the method of calling it differs per platform. For the purpose of having a simple environment that is easily accessible to most people, I will assume the use of an Ubuntu (virtual) machine. If you don’t have a native Ubuntu machine available, you can easily run it through VirtualBox on Windows, Linux, and OS X.

Since you will often want to run examples on your native system instead, we will first show the basics of loading printf from the standard C library.

Windows

One problem of calling C functions from Python...