# Pydata 2023 Tutorial Shared Space

## What gallery enteries interest you?

## setup/install
What worked, didn't work, was a pain?
- on Windows and codespaces: errors about ipython kernel and pip
- Running cells with '/usr/bin/python' requires the ipykernel package.
- There is no Pip installer available in the selected environment.
- Managed to get it to work with Codelab at https://colab.research.google.com/github/story645/pydata_nyc_2023/blob/main/N1_static.ipynb and adding the 'data' folder with penguins.csv
- For second notebook: https://colab.research.google.com/github/story645/pydata_nyc_2023/blob/main/N2_animated.ipynb
- For third notebook: https://colab.research.google.com/github/story645/pydata_nyc_2023/blob/main/N3_interactive.ipynb

## tutorial notesI'm
please jot down:
- what new things you learned about
- What you found helpful
- What you think would be helpful for other particpants
- what questions you have

## exit ticket
please jot down:
- what questions you have
- what you want to learn more about
- what can be explained better (in tutorial and in our documentation)

# fixes

download data
make the dtypes categorical on load
- helper getitem on on categories
make functions for the stuff we reuse