Simmi Mourya - Scientific computing  using Cython: Best of both Worlds!
Channel: EuroPython Conference
Date: 2017-10-28

"Scientific computing  using Cython: Best of both Worlds!
[EuroPython 2017 - Talk - 2017-07-14 - Anfiteatro 2]
[Rimini, Italy]

Cython is not only an excellent and widely used tool to speed up computational Python code, it’s also a very smart way to talk to native code and libraries. The Cython compiler translates Python code to C or C++ code, and supports static type annotations to allow direct use of C/C++ data types and functions. You get the best of both worlds while working with Cython: Python like syntax with blazing fast C speed.

This talk/tutorial by a Python/Cython developer introduces Cython programming language and leads the participants all the way from their first Python extension to an efficient integration with native C. 
Topics covered will be:
1. Using the Cython compiler to build a native extension module
2. Cython development from Jupyter notebook
3. Mixing Python with static C types in the Cython language
4. Calling into native code from Cython code (Brief introduction)
5. Wrap up: A brief case study
Cyvlfeat: A Cython/Python wrapper for Computer Vision library, VLFeat.

Participants are expected to have a good understanding of the Python language, some basic knowledge about C or C++.  No deep C programming knowledge is required, nor is any prior knowledge needed about writing extension modules for the CPython runtime.

License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/
Please see our speaker release agreement for details: https://ep2017.europython.eu/en/speaker-release-agreement/