Jupyter Notebook installation and setup The easiest way to create and work with Jupyter Notebooks for Python is to set up an instance of the Anaconda distribution of Python.

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 ...

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.

You're wondering what tools are out there or what you're missing. There are thousands, but if you're new to the subject, it's ...

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, ...

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.

In the regular monthly update to Python tooling for Visual Studio Code, Microsoft announced an improved setup experience for Jupyter notebooks, along with new inlay type hints for the Pylance language ...

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 ...

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 ...