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Interview: The Performance of Python

Anne-Laure Civeyrac writes:

After the 2020 edition of dotPy was cancelled due to the COVID-19 pandemic, we contacted two of the speakers who had been due to appear at the event, Victor Stinner and Julien Danjou, so that we could find out more about the performance of the programming language Python. Aspects that came under the spotlight were how best to measure its performance, the reasons behind its slow speeds, and the ongoing projects and concrete solutions being implemented to tackle performance issues[…]

 We recently improved the performance of CircuitPython for some computational tasks by up to 50x with ulab, a library similar to numpy.  What performance stories or tips do you have for Blinka and CircuitPython? Let us know in the comments or on Discord, our online community with over 19,000 humans!


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