Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Advanced Search Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Learning Cython Programming (Second Edition)
  • Table Of Contents Toc
  • Feedback & Rating feedback
Learning Cython Programming (Second Edition)

Learning Cython Programming (Second Edition) - Second Edition

By : Philip Herron
1 (1)
Buy this Book
close
close
Learning Cython Programming (Second Edition)

Learning Cython Programming (Second Edition)

1 (1)
By: Philip Herron
Buy this Book

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.
Table of Contents (8 chapters)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Lock Free Chapter
1
1. Cython Won't Bite
Icon
1. Cython Won't Bite
Icon
Installing Cython
Icon
Getting started – Hello World
Icon
Summary
2
2. Understanding Cython
Icon
2. Understanding Cython
Icon
Linking models
Icon
Cython keyword – cdef
Icon
Typedef and function pointers
Icon
The public keyword
Icon
Keyword cpdef
Icon
Logging from C/C++ into Python
Icon
Using Python ConfigParser from C/C++
Icon
Callbacks from Python to C/C++
Icon
Cython PXD
Icon
Integration with build systems
Icon
Summary
3
3. Extending Applications
chevron up
Icon
3. Extending Applications
Icon
Cython pure Python code
Icon
Compiling pure Python code
Icon
Python garbage collector
Icon
Extending Tmux
Icon
Embedding Python
Icon
Cythonizing struct cmd_entry
Icon
Implementing a Tmux command
Icon
Hooking everything together
Icon
Summary
4
4. Debugging Cython
Icon
4. Debugging Cython
Icon
Using GDB with Cython
Icon
Cython caveats
Icon
Summary
5
5. Advanced Cython
Icon
5. Advanced Cython
Icon
Cython and C++
Icon
C++ new and del keyword
Icon
Overloading
Icon
Templates
Icon
Static class member attribute
Icon
Calling C++ functions – Caveat
Icon
Python distutils
Icon
Python threading and GIL
Icon
Cython keywords
Icon
Messaging server
Icon
Caveat on GIL
Icon
Unit testing the native code
Icon
Preventing subclassing
Icon
Parsing large amounts of data
Icon
Summary
6
6. Further Reading
Icon
6. Further Reading
Icon
Overview
Icon
OpenMP support
Icon
Compile time preprocessor
Icon
Python 3
Icon
PyPy
Icon
AutoPXD
Icon
Pyrex and Cython
Icon
SWIG and Cython
Icon
Cython and NumPy
Icon
Numba versus Cython
Icon
Parakeet and Numba
Icon
Relevant Links
Icon
Summary
7
Index
Icon
Index

Compiling pure Python code

Another use for Cython is to compile Python code. For example, if we go back to the primes example, we can do the following:

$ cython pyprimes.py –embed
$ gcc -g -O2 pyprimes.c -o pyprimes `python-config --includes –libs`

Then, we can compare the three different versions of the same program: the Cython version using cdef for native types, the pure Python version running as a Python script, and finally, the Cython-compiled pure Python version, which results in an executable binary of Python code:

  • First, the Cython version using native types:

    $ time ./primes
real    0m0.050s
user    0m0.035s
sys     0m0.013s

  • Next, the executable pure Python version:

    $ time ./pyprimes
real    0m0.139s
user    0m0.122s
sys     0m0.013s

  • And finally, the Python script version:

    philips-macbook:primes redbrain$ time python pyprimes.py
real    0m0.184s
user    0m0.165s
sys     0m0.016s

The pure Python version runs the slowest, the compiled Python version runs a little bit faster, and finally...

Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Learning Cython Programming (Second Edition)
End of Section 3
Next Section
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon