By Philip Herron

Key Features

  • Learn find out how to expand C functions with natural Python code
  • Get extra from Python – you will not just research Cython, you are going to additionally unencumber a better figuring out of ways to harness Python
  • Packed with advice and tips that make Cython glance effortless, dive into this available programming consultant and discover what occurs in the event you deliver C and Python together!

Book Description

Cython is a hybrid programming language used to jot down C extensions for Python language. Combining the practicality of Python and pace and simplicity of the c program languageperiod it truly is an exhilarating language worthy studying as a way to construct quickly purposes with ease.

This new version of studying Cython Programming indicates you ways to start, taking you thru the basics so that you can start to event its targeted powers.

You'll tips on how to get organize, prior to exploring the connection among Python and Cython. you are going to additionally examine debugging Cython, earlier than relocating directly to C++ constructs, Caveat on C++ utilization, Python threading and GIL in Cython. eventually, you will research item initialization and bring together time, and achieve a deeper perception into Python three, in an effort to assist you not just develop into a convinced Cython developer, yet a way more fluent Python developer too.

What you'll learn

  • Reuse Python logging in C
  • Make an IRC bot from your C application
  • Extend an software so that you have an online server for leisure calls
  • Practice Cython opposed to your C++ code
  • Discover tips to paintings with Python ConfigParser in C
  • Create Python bindings for local libraries
  • Find out approximately threading and concurrency on the topic of GIL
  • Expand Terminal Multiplexer Tmux with Cython

About the Author

Philip Herron is a developer who focuses his ardour towards compilers and digital desktop implementations. whilst he was once first accredited to Google summer time of Code 2010, he used concept from Paul Biggar's PhD at the optimization of dynamic languages to increase an explanation of the concept that GCC frontend to collect Python. This undertaking sparked his deep curiosity in how Python works.

After finishing a consecutive 12 months at the similar venture in 2011, Philip utilized to Cython less than the Python origin to achieve a deeper appreciation of the normal Python implementation. via this he all started leveraging the benefits of Python to manage the good judgment in structures or perhaps upload extra high-level interfaces, corresponding to embedding Flask net servers in a leisure API to a system-level piece of software program, with out writing any C code.

Philip presently works as a software program advisor for Instil software program dependent in Northern eire. He develops cellular purposes with embedded local code for video streaming. Instil has given him loads of aid in changing into a greater engineer.

He has written a number of tutorials for the UK-based Linux layout journal on Python and likes to percentage his ardour for the Python programming language.

Table of Contents

  1. Cython will not Bite
  2. Understanding Cython
  3. Extending Applications
  4. Debugging Cython
  5. Advanced Cython
  6. Further Reading

Show description

Read Online or Download Learning Cython Programming - Second Edition PDF

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Additional info for Learning Cython Programming - Second Edition

Sample text

Python's API allows for variables and substitution depending on the flavor of the ConfigParser. sections = NULL There are a few things going on here to take note of. Firstly, the following: cdef public struct ConfigSections This public struct declaration, as we have seen before, will be the output into the respective header file. This means we don't have to define this inside the C/C++ code first: cdef public void ParseSectionsFromConfig(const char *config_path, ConfigSections * const sections): This function is designed to take the path to the configuration file as a string.

In this first chapter, we will cover: Installing CythonGetting started - Hello WorldUsing distutils with CythonCalling C functions from PythonType conversion Installing Cython Since Cython is a programming language, we must install its respective compiler, which just so happens to be the aptly named Cython. There are many different ways to install Cython. The preferred one would be to use pip: $ pip install Cython This should work on both Linux and Mac. Alternatively, you can use your Linux distribution's package manager to install Cython: $ yum install cython # will work on Fedora and Centos $ apt-get install cython # will work on Debian based systems.

Number_of_sections) As with C++, Cython code requires an explicit cast when allocating memory with malloc. We will review this cast syntax later for more advanced usage. sections); } Using the technique of passing reference to allocated structs on the stack, we eliminate a lot of memory management, but because we allocated memory to the arrays within each struct, we must free them. get(section, key) except: return NULL Note When returning C strings from Cython functions, we do not need to free anything, as this is managed by the Python garbage collector.

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