Hi!
My name is Giovanni and I currently work as a Technical Leader at Mercado
Libre <https://mercadolibre.com/>. I'm one of the people responsible for
the *Open Source* initiative here.
I'm making this contact because I'd like to know the possibility of
coordinating together a *Collaboration Sprint* between Mercado Livre
developers and the Pandas repository <https://github.com/pandas-dev/pandas>
since we've identified that it is widely used in our company's
applications. The idea would be to formalize two weeks of collaboration
(issue resolution or something related) between us in *March 2022*.
I look forward to hearing from you.
Thank you.
--
Hi all,
For everyone contributing to the pandas-dev/pandas repo: the development
branch has been renamed from "master" to "main" (which is now also the
default for newly created repositories on GitHub). See
https://github.com/pandas-dev/pandas/issues/39577 for more details.
If you go to your fork on https://github.com/USERNAME/pandas, the GitHub
interface will show a pop-up with instructions on what to do. Basically
this entails renaming the branch from master to main on your fork as well,
and then running this sequence of commands (assuming "origin" points to
your fork):
git checkout master
git branch -m master main
git fetch origin
git branch -u origin/main main
git remote set-head origin -a
This is also summarized at https://github.com/pandas-dev/pandas/issues/39577
Best,
Joris
New idea for the coming update.
df.loc[(SELF['column_1']==x)&(SELF['column_2']==y)]
Instead of
df.loc[(df['column_1']==x)&(df['column_2']==y)]
I hope you take it into consideration.
Best Regards
Ramiro
Hi all,
The pandas team is pleased to announce a release candidate for pandas 1.4.0.
If all goes well, we'll release pandas 1.4.0 in about two weeks.
See the release notes
<https://pandas.pydata.org/pandas-docs/version/1.4/whatsnew/v1.4.0.html>
for a list of all the changes.
The release can be installed from PyPI
python -m pip install --upgrade --pre pandas==1.4.0rc0
Or from conda-forge
conda install -c conda-forge/label/pandas_rc pandas==1.4.0rc0
Please report any issues with the release on the pandas issue tracker
<https://github.com/pandas-dev/pandas/issues>.
Thanks to all the contributors who made this release possible.
Happy New Year to all those contributing to pandas!
Reminder: We are having a meeting tomorrow regarding the various options
to handle the pandas type stubs. See note here:
https://github.com/pandas-dev/pandas/issues/28142#issuecomment-991946409
Join Zoom Meeting
https://us02web.zoom.us/j/89675119530?pwd=emhQQXhuVy9KeHFjZTZhQ0plN3JpUT09
Meeting ID: 896 7511 9530
Passcode: 136973
One tap mobile
+13017158592,,89675119530# US (Washington DC)
+13126266799,,89675119530# US (Chicago)
Dial by your location
+1 301 715 8592 US (Washington DC)
+1 312 626 6799 US (Chicago)
+1 929 436 2866 US (New York)
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
+1 669 900 6833 US (San Jose)
+48 22 306 5342 Poland
+48 22 307 3488 Poland
+48 22 398 7356 Poland
Meeting ID: 896 7511 9530
Find your local number: https://us02web.zoom.us/u/kesPgobMlh
-Irv
