This repo provides the slides and the materials for my talk at PyConDE/PyDataBerlin 2023, on Wednesday April 20th.
You need to have Python 3.10 and uv installed.
Use git clone or your preferred method to download/clone the repo.
Navigate to your project directory and do:
uv venv --python 3.10
source .venv/bin/activate
uv pip install -r requirements.txt
Just run:
streamlit run 🔓_Synthetic_Data.py
You should see the first slide with the title: Unlocking Information - Creating Synthetic Data for Open Access
Find accompanying notebooks in the demo_notebook folder