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Hi @dovahcrow, Unfortunately, we have to limit the packages in our image due to size/complexity, so we won't generally accept a package with fewer than 1000 stars on GitHub. If the package gains additional popularity, we might reconsider. Note: you can always install it in your own Kaggle internet enabled notebook session: https://github.com/Kaggle/docker-python/wiki/Missing-Packages Thank you |
Author
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Thanks for the information @rosbo ! I'll close this issue and reopen it once we reach 1000 stars! |
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DataPrep is a library to help data scientists do data preparation in a few lines of code.
Website: dataprep.ai