Workshop to learn how to create a web application with streamlit to display our data analytics
In this repository you will find:
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A notebooks folder: with some supporting code that I have used to clean the data.
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A main.py: containing the streamlit code that we run to make the APP work locally.
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Manage data: a file with functions we need to manage the data before displaying it with streamlit.
Streamlit currently supports versions 3.6, 3.7 and 3.8 of Python.
- Create your own environment with conda or another method.
- Install yml (the environment I use and have exported)