This demo shows how to run the Splink 50k historical data linking example. You can run it in your web browser at the following link:
If you want to run this locally, follow the instructions below:
# Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate
# Install dependencies
pip install --upgrade pip
pip install -r requirements.txt
# Add virtual environment as a Jupyter kernel
python -m ipykernel install --user --name=venv --display-name "Python (venv)"
# If desired, run the Jupyter notebook. Not needed for running in VS Code
jupyter notebook 50k_demo.ipynb
# Create and activate virtual environment
python -m venv venv
venv\Scripts\activate
# Install dependencies
pip install --upgrade pip
pip install -r requirements.txt
# Add virtual environment as a Jupyter kernel
python -m ipykernel install --user --name=venv --display-name "Python (venv)"
# If desired, run the Jupyter notebook. Not needed for running in VS Code
jupyter notebook 50k_demo.ipynb
If you want to use Jupyter, but don't have it installed globally, you can install it directly into the virtual environment by running:
pip install jupyter
If you have other problems, it's a good idea to update pip:
You can also run this demo in Google Colab by clicking the badge above.