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Presentation

The penultimate step of the process is presenting your findings to others, typically in the form of a report or presentation. You will want to create a persuasive and thorough explanation of your solution. This can often be done using various plotting tools in Python and manually creating a presentation.

Jupyter notebooks are a powerful tool in creating presentations for your analyses with pandas. These notebooks provide a means of both executing code and providing rich markdown capabilities to annotate and describe the execution at multiple points in the application. These can be used to create very effective, executable presentations that are visually rich with pieces of code, stylized text, and graphics.

We will explore Jupyter notebooks briefly in Chapter 2, Up and Running with pandas.
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