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 ...

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 ...

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.

In this section, we'll use the Seaborn library, which I've covered previously, to visualize statistical data with Python the way you would with a graphing calculator in a stats class.

TOOLBOX 30 October 2018 Why Jupyter is data scientists’ computational notebook of choice An improved architecture and enthusiastic user base are driving uptake of the open-source web tool.

The October 2021 update to Python in Visual Studio Code continues to boost notebook functionality, now adding the ability to debug Jupyter Notebooks.