Cython Talks By Stefan Bechnel

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Stefan is one of the core contributors, and gives many talks on Cython. So good to use voting to see the best one.

5 Best Cython Talks By Stefan Bechnel Videos
Votes
 Date
10 👍
Stefan Behnel – Getting Native with Cython
This talk by a core developer introduces the Cython compiler by interactive code examples and presents recent enhancements in the language that continue to make Cython the best choice for the development of fast and portable Python extensions.
72.2%
10 👍
2016-11-18
14 👍
1 👎
FAST ASYNC CODE WITH CYTHON AND ASYNCIO
This joint talk by an async I/O expert and one of the Cython core developers explains how to write code with async/await in Python and Cython, and shows how to benefit from the excellent low-level features that Cython provides on top of Python.
70.2%
14 👍
1 👎
2016-07-28
19 👍
4 👎
62.9%
19 👍
4 👎
2018-08-30
3 👍
Lift your Speed Limits with Cython Fast native code for Python
In this talk, the speaker willl guide you through some examples where the compilation of regular Python code leads to faster execution, and present ways how to make the code run much faster.
43.8%
3 👍
2018-02-04
2 👍
34.2%
2 👍
2018-06-26
 


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1. Lift your Speed Limits with Cython Fast native code for Python In this talk, the speaker willl guide you through some examples where the compilation of regular Python code leads to faster execution, and present ways how to make the code run much faster.
2. FAST ASYNC CODE WITH CYTHON AND ASYNCIO This joint talk by an async I/O expert and one of the Cython core developers explains how to write code with async/await in Python and Cython, and shows how to benefit from the excellent low-level features that Cython provides on top of Python.
3. Cython to the Rescue
4. Stefan Behnel – Getting Native with Cython This talk by a core developer introduces the Cython compiler by interactive code examples and presents recent enhancements in the language that continue to make Cython the best choice for the development of fast and portable Python extensions.
5. Cython to speed up your Python code