Python tutorial: Get started with Jupyter Notebook

Learn how to combine Python code, freeform text, mathematical formulas, and graphics in an interactive, shareable notebook

Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked.

Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebooks are useful in all kinds of ways for all kinds of projects. 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.

In this article, we’ll walk through setting up Jupyter Notebook for Python, working with Jupyter’s various features, and sharing the results with others, whether they have Jupyter installed or not. 

Jupyter Notebook installation and setup

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