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 ...

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 ...

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 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 ...

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 ...

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 ...

Try Pyrefly Beta 0.42.0, now production-ready for IDE use with faster static analysis, auto import updates, and early Pydantic and Django support.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Why are all of these companies using Jupyter? The biggest reason is that it just works.

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 Accel, ...