IDEs and code editors are your best friends when you want to write, modify, and execute your self-written programs. But in the vast ecosystem of coding apps, Jupyter Notebook stands out with its ...

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

Because of the client/server architecture, it is very simple to share notebooks with other users. You can — in theory — use Jupyter for anything you could use Python for.

In this video from the Blue Waters Symposium, Roland Haas from NCSA presents: Tutorial: How to use Jupyter Notebooks. "Jupyter notebooks provide a web-based interface to Python, R, Julia and other ...

The most notable products to arise from this concept were notebooks, such as Azure Notebooks, Jupyter Notebooks, Apache Zeppelin, and the Apache Spark Notebook.

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.

Sisense, the leading AI-driven platform for infusing analytics everywhere, today announced Sisense Notebooks, a new code-first functionality within Si ...

Kite's code completions powered deep learning now work with JupyterLab and JupyterHub, helping data scientists as they type Python.

Nov. 11, 2019 — 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 ...