scikit-learn3 min read
Reproducible Data Analysis in Jupyter
Jupyter notebooks provide a useful environment for interactive exploration of data. A common question I get, though, is how you can progress from this nonlinear, interactive, trial-and-error style of exploration to a more linear and reproducible analysis based on organized, packaged, and tested…
By Jake VanderPlasPython Data Science Handbook by Jake VanderPlas Blog
Read the full story
Originally published by Python Data Science Handbook by Jake VanderPlas Blog on Mar 3, 2017.
Comments
Sign in to join the discussion.