Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

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 ...

At some point, we all need to show our work. Most programming work is shared either as raw source code or as a compiled executable. The source code provides complete information, but in a way that’s ...

Our digital world is so much more interactive than the paper one it has been replacing. That becomes very obvious in the features of Jupyter Notebooks. The point is to make your data beautiful, ...

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 ...

Improved IntelliSense support for Jupyter Notebooks highlights the September 2022 update of Python dev tooling in Visual Studio Code. That tooling comes in extensions for Python (64 million installs, ...

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

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 ...

If you are a Pythonista or a data scientist, you’ve probably used Jupyter. If you haven’t, it is an interesting way to work with Python by placing it in a Markdown document in a web browser. Part ...