The CPython interpreter allows us implement modules in C for performance critical code or to interface with external libraries while presenting users with a high level Python API. This tutorial will teach you how to leverage the power of C in your Python projects.

We will start by explaining the C representation of Python objects and how to manipulate them from within C. We will then move on to implementing functions in C for use in Python. We will discuss reference counting and correct exception handling. We will also talk about how to package and build your new extension module so that it may be shared on PyPI. (We will only be covering building extension modules on GNU/Linux and OSX, not Windows).

After the break, we will show how to implement a new type in C. This will cover how to hook into various protocols and properly support cyclic garbage collection. We will also discuss techniques for debugging C extension modules with gdb using the CPython gdb extension.

Prior to the tutorial, attendees need to install a git, a C89 compatible C compiler and gdb. OSX users will also need to install brew.

For the C compiler: I recommend gcc, but clang works as well. The tutorial will be using gdb specific features so gdb is reqiured. Other C debuggers like lldb will not work.

Once all of the system packages have been installed, run the following commands in a terminal:

$ git clone --recursive https://github.com/llllllllll/c-extension-tutorial.git
$ cd c-extension-tutorial
$ source etc/setup-env

The setup-env script will compile a debug version of CPython 3.6 and create a local virtual env with this new interpreter. This ensures that everyone is using the same version of CPython with the same compile time flags.

The tutorial is structured as a sphinx project. This allows the tutorial to be viewed from a standard browser or hosted online.

The material can be viewed in a browser by opening tutorial/build/html/index.html, for example:

$ ${BROWSER} tutorial/build/html/index.html