Jupyter Notebook installation and setup The easiest way to create and work with Jupyter Notebooks for Python is to set up an instance of the Anaconda distribution of Python.

There's nothing quite like running Python code on your self-hosted Jupyter Notebook server ...

Jupyter Notebook is not a full-blown development environment for Python. Many of the features you would expect to find in an IDE—e.g., interactive debugging, code completion, and module ...

Sample Anaconda Learning courses include an intro course, “Get Started with Anaconda,” that promises upon completion students will understand basic data science concepts and tools, how the different ...

Jupyter is an offshoot of the IPython project, which aims to create a better interactive mode for Python. While Jupyter incorporates IPython, it's still available as a standalone program.

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.

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.

The October 2021 update to Python in Visual Studio Code continues to boost notebook functionality, now adding the ability to debug Jupyter Notebooks.

Faster start-up times for the Jupyter Notebook editor and associated server highlight the February update to the wildly popular Python Extension for Visual Studio Code.

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