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I'm using a lot of numpy https://numpy.org/ for processing large amounts of point data, and for generally optimizing / unfurling for loops into a format which can be compiled to faster code, using numba http://numba.pydata.org/. I also often use some built in pylib imports like concurrent https://docs.python.org/3/library/concurrency.html for making things parallel, and python wrapped imgui https://github.com/ocornut/imgui for ui / interactivity. I also use anaconda to manage libs, not that this likely matters much lol.
I'm using a lot of numpy https://numpy.org/ for processing large amounts of point data, and for generally optimizing / unfurling for loops into a format which can be compiled to faster code, using numba http://numba.pydata.org/. I also often use some built in pylib imports like concurrent https://docs.python.org/3/library/concurrency.html for making things parallel, and python wrapped imgui https://github.com/ocornut/imgui for ui / interactivity. I also use anaconda to manage libs, not that this likely matters much lol.
I'm using a lot of numpy https://numpy.org/ for processing large amounts of point data, and for generally optimizing / unfurling for loops into a format which can be compiled to faster code, using numba http://numba.pydata.org/. I also often use some built in pylib imports like concurrent https://docs.python.org/3/library/concurrency.html for making things parallel, and python wrapped imgui https://github.com/ocornut/imgui for ui / interactivity. I also use anaconda to manage libs, not that this likely matters much lol.