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NumPy works best for machine-native numerical types (int s, float s) rather than Python-native types (complex numbers, the Decimal type). How NumPy speeds array math in Python ...
[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and ...
JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team.