dplyr-like Python library

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I wrote a dplyr-like wrapper for Polars
<https://github.com/drhagen/tabeline/> that some of you might find
interesting.

Tabeline is in the early stages, but it already has a documentation website
<https://tabeline.drhagen.com/> and decent test coverage. It uses Polars
underneath to get the speed, but does a lot of work to smooth out Polars's
edge cases.

It can convert to/from Pandas and to/from Polars, so it is easy to slot
into an existing workflow.

Obviously, bug reports and other ideas are welcome!

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<div dir=3D"ltr"><div>I wrote a <a href=3D"https://github.com/drhagen/tabel=
ine/">dplyr-like wrapper for Polars</a> that some of you might find interes=
ting.</div><div><br></div><div>Tabeline is in the early stages, but it alre=
ady has <a href=3D"https://tabeline.drhagen.com/">a documentation website</=
a> and decent test=C2=A0coverage. It uses Polars underneath to get the spee=
d,=C2=A0but does a=C2=A0lot of work to=C2=A0smooth=C2=A0out=C2=A0Polars&#39=
;s edge cases.<br></div><div><br></div><div>It can convert to/from Pandas a=
nd to/from Polars, so it is easy to slot into an existing workflow.</div><d=
iv><br></div><div>Obviously, bug reports and other=C2=A0ideas are welcome!<=
/div></div>

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