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 ...

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 ...

These days, the industry would have you believe that data and analytics is all being done in the service of AI. And, given that, there's a lot of orientation toward data scientists' seemingly favorite ...

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 ...

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, ...

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 ...

The dev team for Visual Studio Code improved Jupyter Notebook functionality and much else in the regular monthly update to the wildly popular, open source-based, cross-platform code editor. For one ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...

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 ...

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, ...