Jupyter Notebooks is an interactive computing environment that you can use to create code, equations, visualizations, and text. Jupyter Notebooks is commonly used to run Python, but it also supports R, Julia, and several other languages. The platform is popular among data science enthusiasts because of the ease of building workflows and the ability to visualize the output after each step. In this workshop, we will discuss how to install and set-up a Jupyter Notebook, run code, insert graphs, and how to create tables. We will also cover how to export your notebook in different formats.

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