Subject archive for "jupyter"

Jupyter Notebook has become one of the key primary tools for many data scientists. It offers a clear way to collaborate with others throughout the process of data exploration, feature engineering and model fitting and through utilizing some clear best practices, can also become living documents of how that code operates.

Paco Nathan's latest article covers program synthesis, AutoPandas, model-driven data queries, and more.

In Paco Nathan's latest column, he explores the theme of "learning data science" by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev.

Introduction: New Monthly Series!

Reproducible machine learning with Jupyter and Quilt

Mac Rogers, Research Engineer at Domino, presented best practices for creating Jupyter dashboards at a recent Domino Data Science Pop-Up.