Compose a reproducible pipeline from multiple Jupyter Notebooks in JupyterLab
If you're numbering your Jupyter Notebooks and/or opening them up and running them one-by-one to deliver "final" results, you're taking unnecessary risks and wasting time/brainpower that could be put to better use elsewhere. In this video we'll see how to tie them together into a self-documenting single-button reproducible pipeline that automatically manages each notebook's virtual environment using the Calkit JupyterLab extension.
Docs: https://docs.calkit.org/jupyterlab
GitHub: https://github.com/calkit/calkit
#reproducibility #jupyterlab #datascience