Abdulaziz Aloqeely

#58814 only fixes the issue of constructing a DataFrame from a Mapping, but using a Mapping can still work unexpectedly for other methods, take this example from the docs (using...

> The request adds a lot of maintenance burden for a use case that isn't remotely supported. I'm -1 on this entirely, the point I wanted to emphasize is that...

Thanks for the PR! Sorry this hasn't been reviewed yet. Generally LGTM. cc @mroeschke

@natmokval should this be closed now that #58322 is merged?

I believe the plots display automatically if you are using an interactive environment such as Jupyter notebook. Otherwise you can `import matplotlib.pyplot as plt` and then run `plt.show()` after you...

Personal preference, but I think the "On this page" sidebar (from @jorisvandenbossche's PR) is cleaner and resembles the docs more than the table of contents here. (I guess that's a...

Thanks for the PR! I think the suggestion in the issue was to document the supported platforms under the [installation page](https://pandas.pydata.org/docs/getting_started/install.html#python-version-support)

It does not make sense to put this information in the 2.1 changelog since that was released more than half a year ago. The suggestion was to add it in...

> Anything else If [PDEP-17](https://github.com/pandas-dev/pandas/pull/59125) goes through it'd be great if I could to switch all our deprecations from `FutureWarning` to `DeprecationWarning` before 3.0 — not a blocker though

> ```python > model = Sequential([ > data_augmentation, > # layers.Rescaling(1./255, input_shape=(img_height, img_width, 3)), > # layers.Conv2D(16, 3, padding='same', activation=activation1), > # layers.MaxPooling2D(), > layers.Conv2D(32, 3, padding='same', activation=activation1), > layers.MaxPooling2D(),...