93% of public, upvoted Python kernels on Kaggle use pandas @wesmckinn. The only two other libraries directly imported >50% of the time are numpy (89%) and matplotlib (59%). Impossible to understate the impact pandas has had on the PyData ecosystem
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XGBoost: 11.7% TensorFlow: 2.8% Keras: 0.9%
I'm surprised that TF would be imported more than Keras, but maybe there is some overlap between the two. 1% Keras is also lower than I expected :) What about sklearn? I would expect at least 10%...
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Kaggle kernels might be a biased sample, once DL gets involved you’d fire up an EC2
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Very surprising I would expect it be the other way around. But does the statistics accounts for Keras imports? Keras imports TF but TF does not import Keras. Also I often import from Tensorflow even though I use Keras exclusively.
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You must remember that the kernels platform on kaggle is limited to 1h excecution time and therefore training models in genera is not it's primary use case for them.
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