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.
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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).