Streamlit front-end for the actionsheets package. The app features a large collection of detailed cheatsheets for Python and R that I’ve created over the years. The name “actionsheets” comes from the way the sheets are structured: code snippets are indexed in terms of a desired action, and are grouped in sections.
What separates this app from typical cheatsheet websites is that the sheets are dynamically rendered from a data source. This enables search functions for sheets and snippets, and generating filtered sheets.
To start the dashboard locally, run:
streamlit run app.py
This project uses Poetry to manage dependencies. To install the dependencies, run:
poetry install
To update dependencies, run:
poetry update