PyLadies Lithuania - Sample Streamlit app

This is a skeleton Streamlit app for the PyLadies workshop at PyConLT 2025. See below for how to get started running the app.

There is an initial dataset in the data folder.

You will get instructions on how to complete the app in the workshop - you will primarily be updating the code in app.py.

To see an example version of a built out app: https://github.com/nmenezes0/pyladies-full-app.

Getting started

First fork the repo:

Then you can either:

• Run in GitHub Codespaces (note there are limits to how much you can use - see GitHub docs)
• Run locally on your laptop

Running in GitHub Codespaces

Go to: http://github.com/codespaces.

Then create a new codespace based on your forked version of the repo (the repo name will be something like <your-username>/pyladies-streamlit-app/.

Once your codespace has got started, run the app by typing streamlit run app.py in the terminal.

Running locally

• Clone the forked repository.
• Install packages (ideally into a virtual environment): pip install -r requirements.lock.
• Run the app: streamlit run app.py.

Data

Kaggle dataset: https://www.kaggle.com/datasets/bismasajjad/womens-representation-in-global-stem-education?resource=download