Book Image

Learning Cython Programming (Second Edition) - Second Edition

By : Philip Herron
Book Image

Learning Cython Programming (Second Edition) - Second Edition

By: Philip Herron

Overview of this book

Cython is a hybrid programming language used to write C extensions for Python language. Combining the practicality of Python and speed and ease of the C language it’s an exciting language worth learning if you want to build fast applications with ease. This new edition of Learning Cython Programming shows you how to get started, taking you through the fundamentals so you can begin to experience its unique powers. You’ll find out how to get set up, before exploring the relationship between Python and Cython. You’ll also look at debugging Cython, before moving on to C++ constructs, Caveat on C++ usage, Python threading and GIL in Cython. Finally, you’ll learn object initialization and compile time, and gain a deeper insight into Python 3, which will help you not only become a confident Cython developer, but a much more fluent Python developer too.

Related Content you might be interested in

Current Title:

Small book image
Learning Cython Programming (Second Edition) - Second Edition
Philip Herron
Feb, 2016 | 110 pages
No titles found
Table of Contents (14 chapters)
Learning Cython Programming Second Edition
Learning Cython Programming Second Edition
Credits
Credits
About the Author
About the Author
Acknowledgments
Acknowledgments
About the Reviewer
About the Reviewer
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Cython Won't Bite
Cython Won't Bite
Installing Cython
Getting started – Hello World
Summary
2
Understanding Cython
Understanding Cython
Linking models
Cython keyword – cdef
Typedef and function pointers
The public keyword
Keyword cpdef
Logging from C/C++ into Python
Using Python ConfigParser from C/C++
Callbacks from Python to C/C++
Cython PXD
Integration with build systems
Summary
3
Extending Applications
Extending Applications
Cython pure Python code
Compiling pure Python code
Python garbage collector
Extending Tmux
Embedding Python
Cythonizing struct cmd_entry
Implementing a Tmux command
Hooking everything together
Summary
4
Debugging Cython
Debugging Cython
Using GDB with Cython
Cython caveats
Summary
5
Advanced Cython
Advanced Cython
Cython and C++
C++ new and del keyword
Overloading
Templates
Static class member attribute
Calling C++ functions – Caveat
Python distutils
Python threading and GIL
Cython keywords
Messaging server
Caveat on GIL
Unit testing the native code
Preventing subclassing
Parsing large amounts of data
Summary
6
Further Reading
Further Reading
Overview
OpenMP support
Compile time preprocessor
Python 3
PyPy
AutoPXD
Pyrex and Cython
SWIG and Cython
Cython and NumPy
Numba versus Cython
Parakeet and Numba
Relevant Links
Summary
Index
Index

Chapter 4. Debugging Cython

Since Cython programs compile down to their native code, we cannot use the Python debugger to step through your code. We can, however, use GDB. GNU Project Debugger (GDB) is a cross platform debugger. Python plugin support was added in version 7.0, which was used to add the Cython support into gdb as a simple script; this means that you can seamlessly step through the C/C++ code into Cython and back again.

When it comes to language binding, it's good practice to keep interfaces as simple as possible. This will make debugging much simpler until you are happy with your bindings in terms of resource management or stability. I will iterate over some GDB and caveats examples.

In this chapter, we will cover the following topics:

  • Using GFB with Cython

  • Cython caveats

Previous Section
End of Section 1
Next Section