Being able to create a beautiful report is very important to a data scientist. No one will know of your work or be able to see your smart analysis or pretty plots unless you can share them easily. Jupyter Book is exactly the tool to use in order to accomplish this.

As a data scientist, Jupyter Notebooks are an amazing tool for conducting analysis of data, creating a machine learning pipeline for revenue forecasting or building a neural network to classify street signs. But what next? You want to share your findings and analyses, but sending around a `.ipynb` may be hard, especially if it needs data to run.. There doesn't seem to be a good solution for sharing Jupyter Notebooks natively, and this is where Jupyter Book comes in you can easily share your work with little effort !

In this project, we will learn these key ideas:

This lab is made to be very easy to pick up, so all you really need is to know how basic shell commands work.