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?

Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: Data visualizations.

A truly data-driven organization takes those exploratory insights and puts them into a place where decision makers can use them to make choices grounded in truth. With Jupyter Notebooks in Civis ...

Launching Jupyter Notebook: jupyter notebook Conclusion In this article, we explored the powerful combination of Apache Spark and Jupyter for big data analytics on a Linux platform. By leveraging the ...

"Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text and multimedia ...

Jupyter Notebooks These bundles of words, code, and data have become the lingua franca of the data science world.

Deepnote, a startup that is building a data science platform on top of Jupyter-compatible notebooks, today announced that it has raised a $20 million Series A round co-led by Index Ventures and ...

It's easy to create Jupyter notebooks and comes fully loaded with popular data science packages, such as Pandas (a statistical software for the Python programming language).

IBM has released a new open source toolkit with AI extensions to the popular Jupyter Notebooks data science development platform. The Elyra AI Toolkit extends the industry standard JupyterLab user ...

Jupyter Notebook is an open source web environment for data visualization. The modular software is used to model data in data science, computing, and machine learning.