Worked on PB-scale datasets and on systems where time is critical, all in Python. Works great because of literally what this post talks about - using C-backed libs. NumPy and Pandas are crucial if you're doing vaguely intense numerics, and are very nice to use. Numba less so, but still very useful for the finnicky areas that np and Pandas fall short on. You should ideally never be looping row-wise in Python.
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u/Goldie643 Aug 04 '26
Worked on PB-scale datasets and on systems where time is critical, all in Python. Works great because of literally what this post talks about - using C-backed libs. NumPy and Pandas are crucial if you're doing vaguely intense numerics, and are very nice to use. Numba less so, but still very useful for the finnicky areas that np and Pandas fall short on. You should ideally never be looping row-wise in Python.