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Cython, Pythran, nuitka, numba


I discovered than :epkg:`Pythran` was now a possible backend for Cython: Pythran as a Numpy backend. On one benchmark, it increases the speed by 2. I recommend the reading of the following article: Optimizing your code with NumPy, Cython, pythran and numba which instigates the performance brought by the four following tool and gives some hints on how to write efficient code with these tools:


Exploration with pybind11 and ExtensionArray


I tried the version of pybind11 to expose a dummy C++ object WeightedDouble, to implement a couple of operators and to see how it behaves into a dataframe.


Call C# from Python


A couple of questions must be answers to do that.


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