Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...

Most people have their first exposure to Jupyter Notebook by way of a data visualization, a shared notebook that includes a rendering of some data set as a graphic.

Jupyter creates interactive documents to mix code, text, and graphics. Jupyter is popular for sharing code and results in scientific computing. Jupyter notebooks consist of Markdown and code cells ...

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.

This webinar will be a hands-on session and guided tutorial for advanced users to explore how to use the EO4SD CR platform Jupyter Notebook, including structured exercises on how to access EO data, ...

Jupyter notebooks break out of their "show and tell" role into something more suitable to data engineers. Can JupyterLab turn notebooks into an Enterprise tool?

A new breed of notebooks is taking data visualization and collaborative functionality to the next level, with spreadsheet simplicity.

The software gives users access to data science capabilities that they’re used to from the Jupyter notebook–such as exploring and cleaning data, creating machine learning and deep learning models, ...

The post details working with ML.NET with Jupyter Notebooks for machine learning projects and .NET for Apache Spark for Big Data with projects in .NET. "The initial set of features we released needed ...