Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...

Sample Anaconda Learning courses include an intro course, “Get Started with Anaconda,” that promises upon completion students will understand basic data science concepts and tools, how the different ...

There's nothing quite like running Python code on your self-hosted Jupyter Notebook server ...

Jupyter Notebook is not a full-blown development environment for Python. Many of the features you would expect to find in an IDE—e.g., interactive debugging, code completion, and module ...

Because of the client/server architecture, it is very simple to share notebooks with other users. You can — in theory — use Jupyter for anything you could use Python for.

Thus the new Jupyter extension borrows Notebook tech from the super-popular Python extension for VS Code, which at 24.4 million downloads is by far the No. 1 tool in the VS Code Marketplace (No. 2 ...

Faster start-up times for the Jupyter Notebook editor and associated server highlight the February update to the wildly popular Python Extension for Visual Studio Code.

For instance, PyXLL-Jupyter can integrate data from your Excel workbook into a Jupyter Notebook using a single command. This enables you to analyze massive datasets quickly. Additionally, PyXLL ...

Unlike the Jupyter notebooks often used for Python, they are designed to run multiple languages within one notebook. As a result, Polyglot notebooks offer a wide range of application possibilities ...

Marimo plans to fix this with its Python notebook addressing the key shortcomings of traditional notebooks like Jupyter. Marimo claims that, unlike Jupyter, the marimo notebook ensures true ...