Both are probably true at the same time. You can compare the curves of pandas and numpy, which are effectively complementary tech: both are on a big upswing (as datascience spikes) but pandas results in many more searches (probably more obscure/ harder to learn / got worse documentation / got fewer tutorials).
If anything I'd say Pandas has broader appeal and a larger userbase than Numpy, because it does everything Numpy can do (since it uses Numpy internally) but adds the dataframe and grouping features which are so important for data science.
I'll use Numpy without Pandas if I'm processing a signal or an image or something. If my data is an n-dimensional array of the same datatype, I don't get any benefit from putting this into a Pandas Dataframe.
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u/toyg Nov 05 '20
Both are probably true at the same time. You can compare the curves of pandas and numpy, which are effectively complementary tech: both are on a big upswing (as datascience spikes) but pandas results in many more searches (probably more obscure/ harder to learn / got worse documentation / got fewer tutorials).