I have a new Azure Data Studio installation (per machine installation) v1.45.1. I open an empty folder and I create a Jupyter notebook. I select Python3 from Kernel dropdown. Azure Data Studio prompts ...

Under certain situations when running the MS Python extension, the following error can arise: Failed to connect to Jupyter notebook. http://127.0.0.1:8889/ Error: Kernel Python 3 is not usable.

You can run Python on your local computer via Jupyter notebook or an IDE, or even in the cloud via Google Colab. We’ll use Google Colab in this article.

Visual Studio Code has built-in support for Jupyter Notebooks. You can create one by typing the keyword combination Command+Shift+P and selecting the option “Python Jupyter Notebook”.

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.