Last August, during the Container Analysis Environments Workshop held at Urbana-Champaign, we had discussion about reproducibility in the Jupyter Notebooks. There came out the idea of storing all the details about the Python environment inside the Notebook, in the metadata.
I released an experimental package on Github (and PyPI):
For simplicity it only supports
conda environment, but it also supports having
inside those environments.
It automatically saves the
conda environment as metadata inside the
.ipynb document and then provides
a command line tool to inspect it and create a new
conda environment based on it.
I am not sure this is the best design, please open Issues on Github to send me feedback!