Bringing C performance to Python code
a talk by Jan Škoda
How to make your code run fast without sacrificing Python advantages? Compiling Python code into C using Cython and Numba JIT compiler. Making a function 100x faster using a single decorator and more.
Jan Škodaleftys jan_skoda
Jan is a Python and C++ programmer, MatFyz alumni and former AI/Robotics student now working in finance. He interested in AI, innovative startups and except programming, he plays the squash league, travels and takes pictures.
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