Create Beautiful Reports and Books with Jupyter Book!
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Learn to create beautiful, interactive reports and books using Jupyter Book. Explore how to combine code, markdown, and visualizations to present research and findings in an engaging, easy-to-share format.
At a Glance
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.
In this project, we will explore how you can create beautiful multi-page reports or even books with code and plots embedded! Jupyter Book is a powerful documentation tool that allows developers and data scientists to document their work, show off their analysis, and store information beautifully.
Why you should do this Guided Project
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 !
A Look at the Project Ahead
- Understand when Jupyter Books are used
- Explain the way a Jupyter Book is setup
- Build your own Jupyter Book
What You’ll Need
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