You can use Jupyter Notebooks to share Python code and its output with third parties, to run code with live interactive feedback, or to systematically track and document the progress of your work.

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

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.

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.

Jupyter Notebook benefits Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: ...

Why are all of these companies using Jupyter? The biggest reason is that it just works. Another reason is that Python has become the standard for doing data science and machine learning.

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 ...

The most popular AI helpers among Python developers are OpenAI ChatGPT and GitHub Copilot. This is the result of a new survey ...