Eduardo Blancas
1 min readMay 14, 2020

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Great article! In the last section, you mentioned that notebooks are a good way of prototyping workflows, but I believe that notebooks are feasible in production pipelines. I’ve done so in a few projects where I split my pipeline in several small units where some of them are actual notebooks that generate HTML reports. I wrote a library to support such workflow (uses papermill under the hood): https://github.com/ploomber/ploomber

Example: https://ploomber.readthedocs.io/en/stable/auto_examples/reporting.html#sphx-glr-auto-examples-reporting-py

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Eduardo Blancas
Eduardo Blancas

Written by Eduardo Blancas

Data scientist turned startup founder. M.S. in Data Science from Columbia University. Currently building Ploomber: https://ploomber.io/

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