Overview The Jupyter notebook system gives Python users a visual, interactive way to run code, display the results, and share the source with others. But Jupyter notebooks have limited interactivity.

Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming.

Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free. There are many ways to go ...

The August 2021 release of the Python Extension for Visual Studio Code completes a revamp of the Jupyter Notebooks experience that was started more than a year ago. That experience is said to be ...

While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...

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

Alpine Data Labs is continuing its efforts to bridge the gap between data scientists and the C-suite with release 6.0 of its Chorus analytics platform. Chorus is a data science and machine learning ...

Kite, which suggests code snippets for developers in real time, today debuted integration with JupyterLab and support for teams using JupyterHub. Data scientists can now get code completions powered ...

Polyglot Notebooks allow users to enrich code with documentation (in Markdown format), output the results and visualize them. The code blocks can be executed individually directly from the notebook ...