Extensions can transform your Jupyter experience by adding new features and functionalities. From interactive widgets to advanced plotting, extensions enhance productivity and simplify complex tasks.

Jupyter is a browser-based, open-source data science notebook tool that supports Python, Julia, and other dynamic programming languages such as R, Scilab and Octane.

This notebook shows you how to read in spectra from the compatabile .FITS files, plot the spectra, select an emission line to plot, and fit the emission line with (multiple) Gaussian components To ...

Canadiens playoff notebook: Creating doubt in Vegas, Danault line waiting to bust out, Gustafsson more than a PP weapon By Arpon Basu and Marc Antoine Godin June 21, 2021 Updated June 22, 2021 ...

Command-line utility to quickly plot files in a Jupyter notebook. Tools like pandas+matplotlib are very powerful, but it takes some time to plot a file from scratch: run a Jupyter notebook instance, ...

Kernel selection in Jupyter Notebooks: "In the top right of the Notebook Editor and the Interactive Window, you will now be able to see the current kernel that the notebook is using along with the ...

In this line of code, we have another control flow operator, the Python For Loops. For loops allow you to iterate over elements that represent collections, for example, lists and dictionaries.