Jupyter Notebook use cases The most common use cases for Jupyter Notebook are data science, mathematics, and other research projects that involve visualizations of data or formulas.

Of the two notebook technologies, Jupyter has been on the faster tear as of late. Google has versions of Jupyter via Colab notebooks and DataLab.

Google Colaboratory, or "Colab" as most people call it, is a cloud-based Jupyter notebook environment. It runs in your web browser (you can even run it on your favorite Chromebook) and lets anyone ...

Jupyter Notebooks on Google Cloud Hundreds of Jupyter Notebooks for the most popular AI use-cases. One click to run NGC Jupyter Notebooks on a Google Cloud Vertex AI Workbench.

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, ...

With AWS’ Graph Notebook, data scientists can create a Jupyter Notebook query to extract the specific subset of the information in a graph database they want to work with, then visualize the ...

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include data cleaning and ...