Jupyter

Our own Alex Luneburg will speak at this collaborative event with SacPy (the PUG in Sacramento, California).

Jupyter, and the wider eco-system

• what is it?
• why use it?
• comparing with IDE + Python approach
• the basics of how to use it
• built-in documentation
• gradual development with re-usability

Using Jupyter for Data Science, and working with Jupyter Notebooks in a collaborative environment. This will include an example notebook that you can run locally or in Google Colab, with a basic data analysis and modelling example.

• when does using a Jupyter notebook make sense
• documentation
• structuring your notebook
• using custom external modules
• gotchas
• code reviews and Git (Jupytext)
• saving notebook output

There will be a door-prize, kindly donated by JetBrains.