At some point, we all need to show our work. Most programming work is shared either as raw source code or as a compiled executable. The source code provides complete information, but in a way that’s ...

Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free. There are many ways to go ...

With Jupyter Notebooks in Civis Platform, data scientists can take their exploratory code from analysis and push it straight into production scripts. Your data is in the cloud, and your notebooks ...

Jupyter Notebooks have been widely-used in the ML community for nearly a decade as a way to help define models and data using an interactive Python language interface.

Use this in-depth Jupyter Notebook vs. PyCharm comparison to learn more about their features and pricing and to find your best fit.

TOOLBOX 30 October 2018 Why Jupyter is data scientists’ computational notebook of choice An improved architecture and enthusiastic user base are driving uptake of the open-source web tool.