We are the developers behind pandas, currently preparing for the 2.0 release :) AMA

• Pandas

  398 42,039 10.0 Python

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  

Personally polars' strictness is making me think about situations when in pandas we end up with object dtype, which we should probably avoid. Here's an example: https://github.com/pandas-dev/pandas/issues/50887 (polars would just error in such a case, which I think is the correct thing to do)

• pandas-stubs

  4 213 8.6 Python

  Public type stubs for pandas

  

There is a typing effort that is led by some core members (unfortunately none of them takes part today). You can check the stubs package out at https://github.com/pandas-dev/pandas-stubs. I am not really familiar with the progress there

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• scikit-learn

  82 58,200 9.9 Python

  scikit-learn: machine learning in Python

  

There's an issue here about that https://github.com/scikit-learn/scikit-learn/discussions/25450

• bench-warmers

  6 54 9.7 Python

  DigThatData's Public Brainstorming space

you've sort of become victims of your own success: as another pandas dev mentioned, you want to preserve backwards compatibility and this significantly complicates any restructuring. I'm sympathetic and am not sure what the best solution here would be. I had this idea last night but i'm not sure I like this approach either.

• python-bigquery-pandas

  1 421 8.1 Python

  Google BigQuery connector for pandas

  

I'm not sure if there is already support for all Arrow complex types in pandas 2.0, but we have some support of lists for sure, and I think structs too. For the bigquery part, I think you can ask this to the developers of this repo: https://github.com/googleapis/python-bigquery-pandas We basically wrap that library with the read_gbq() function. but there is not much big query specific in pandas other than that, so not much idea.

• SaaSHub

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