Your data is in the cloud, and your notebooks connect to it through the Civis Data Science API. You can ship your notebooks code to a production-ready R or Python script, which interacts with the same ...

Open Excel, and you will see a new tab in the ribbon at the top that says PyXLL.

Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebooks are useful in all kinds of ways for all kinds of projects.

Jupyter notebooks break out of their "show and tell" role into something more suitable to data engineers. Can JupyterLab turn notebooks into an Enterprise tool?

Jupyter Notebook is one such utility, which combines a note-taking and data visualization app with a live code editor.

Jupyter Notebook is very similar to R Markdown in that you can use a statistical programming language to take care of web related coding that usually takes the form of html, CSS, etc. Shown above is ...

Anaconda today announced support for Snowflake Notebooks, an interactive, cell-based data science notebook similar to Jupyter. The move will let data scientists, data analysts, and data engineers ...

The most common use cases for Jupyter Notebook are data science, mathematics, and other research projects that involve visualizations of data or formulas. Apart from those, though, there are ...

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 ...

Exploring the special relationship among VS Code, Python and data science, which has resulted in nearly 158 million installs of related Microsoft dev tools and numerous No. 1 rankings in various ...