Jupyter Book Course

Course Description

Embark on an exciting journey into the world of Jupyter Book, a powerful tool designed to transform your Jupyter Notebook projects into shareable, interactive HTML documentation. This course, offered by IBM, is an introductory-level exploration of Jupyter Book that will revolutionize the way you present and distribute your data science projects.

In less than an hour, you'll learn how to build, customize, and share your very first Jupyter Book. This hands-on course will equip you with the skills to create visually appealing and interactive books that showcase your data analysis and visualizations in a professional, easily digestible format.

What Students Will Learn

• Understand the use cases and benefits of Jupyter Book
• Master the setup process for Jupyter Book
• Build a complete Jupyter Book from scratch
• Incorporate LaTex block style math into your book
• Display interactive Plotly plots within your documentation
• Learn how to exclude specific files from the final build
• Customize your Jupyter Book for optimal presentation

Pre-requisites

• Access to a modern web browser
• Basic knowledge of shell commands (optional, but helpful)

Course Content

• Introduction to Jupyter Book and its advantages
• Setting up the Jupyter Book environment
• Creating and structuring your first Jupyter Book
• Integrating Jupyter Notebook content into your book
• Adding interactive elements such as Plotly plots
• Incorporating mathematical equations using LaTex
• Customizing the appearance and layout of your book
• Building and previewing your Jupyter Book
• Sharing your completed book with others
• Best practices for organizing and presenting your data science projects

Who This Course Is For

This course is ideal for data scientists, analysts, researchers, and students who want to enhance their ability to share their work in an engaging, interactive format. It's perfect for those who are familiar with Jupyter Notebooks and are looking to take their project presentation skills to the next level.

Real-World Applications

• Creating interactive reports for stakeholders or clients
• Developing comprehensive documentation for data science projects
• Building engaging educational materials for teaching or training purposes
• Showcasing portfolio projects to potential employers
• Collaborating more effectively with team members by sharing interactive analyses
• Publishing research findings in a more accessible and engaging format
• Enhancing the presentation of technical information for non-technical audiences