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by rich_sasha
371 days ago
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> What Python desperately needs is a coordinated effort for a core data science /scientific computing stack with a unified framework. In fairness, if you're not touching Pandas, it's pretty good I'd say. Everything is based around numpy and scipy. Sklearn API is a bit idiosyncratic but works really nicely in practice and is extensible. JAX has an API which is 1:1 equivalent to numpy, probably with some catches but still. All the trouble starts with pandas. Pandas is pretty terrible IMO for all the reasons listed by OP and TFA - and more. |
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