We should be using pkg_resources (or importlib.resources if our min Python version is 3.7) instead of uses of __file__.

$ get grep '__file__' sklearn/
sklearn/__check_build/__init__.py:    local_dir = os.path.split(__file__)[0]
sklearn/datasets/_base.py:    module_path = dirname(__file__)
sklearn/datasets/_base.py:    module_path = dirname(__file__)
sklearn/datasets/_base.py:    

Screenshot

Description

chart 3 dot menu is behind the chart title panel in chart maximize mode

We've got two versions of our logo, one for light backgrounds, and another one for dark backgrounds: https://pandas.pydata.org/about/citing.html#brand-and-logo.

Modern browsers usually support a dark mode, and when users have it activated, our favicon (our logo for light backgrounds) doesn't look really nice:

![Screenshot at 2021-06-29 13-18-05](https://user-images.githubusercontent.com/1005

Summary

The grayish background oval indicating a selected st.radio label has too much padding on the right hand side by a few pixels. Here's an example:

(Notice how the background rounded rectangle extends further to the right past "Notion" than it does to the left of the sel

Is your feature request related to a problem? Please describe.
When working with a big piece of text, I sometimes scroll down and copy some text into another tab. When switching back to the first tab, both the input and the output pane is back on top. So I don't know where I was working just now.

Describe the solution you'd like
After tab switching, scroll position should be remembere

After loading a new file and coming to the Configure Parsing Options page, you have the ability to modify the parsing rules, which I do pretty frequently with the kinds of (mostly tsv-like) files that I get. Most frequently I need to change the "Ignore first" and "Discard initial" parameters and since I usually need both of these and since my files are large and complex enough for the preview upda

Collection of follow-ups to #5827. These can/should be broken out into individual PRs. Many are relatively straightforward and would make a good first PR.

General

• Documentation (none was added in original PR).
• Release notes.
• Example notebook.
• Double-check how sm.tsa.arima.ARIMA works with fix_params (it should fail except when the fit method is statespace

See:
gonum/gonum#845 (comment)

The official instructions say to use joblib for pickling PyOD models.

This fails for AutoEncoders, or any other TensorFlow-backed model as far as I can tell. The error is:

>>> dump(model, 'model.joblib')
...
TypeError: can't pickle _thread.RLock objects

Note that it's not sufficient to save the underlying Keras S

Tell us about the problem you're trying to solve

We need to handle better how parse variables when running dbt custom commands
Slack convo

Describe the solution you’d like

Improve the entrypoint.sh when running custom dbt

Describe the alternative you’ve considered or used

A clear and concise description of a