Enable javascript in your browser for better experience. Need to know to enable it? Go here.
Podcast title Image

Computational notebooks: the benefits and pitfalls

Podcast host Neal Ford and Zhamak Dehghani | Podcast guest David Johnston and David Tan
January 07, 2021 | 40 min 38 sec

Listen on these platforms

Brief summary

Computational notebooks — such as Jupyter and Databricks — have soared in popularity with data scientists thanks to the ease with which text, visualizations and code can be combined on a living document. But what works for the data scientist doesn’t always fit with developers’ needs. Productionizing notebooks is fraught with perils. Our podcast team explores how to use computational notebooks most effectively.

The two articles mentioned in the discussion can be found here:

Don't put data science notebooks into production

Coding habits for data scientists

More episodes
Episode name

Check out the latest edition of the Technology Radar