Create Interactive Reports with Jupyter Book
Learn to build and share engaging HTML documentation from Jupyter Notebooks. Master Jupyter Book setup and customization in under an hour.
Learn to build and share engaging HTML documentation from Jupyter Notebooks. Master Jupyter Book setup and customization in under an hour.
This hands-on guided project teaches you how to use Jupyter Book to create interactive, visually appealing HTML documentation from your Jupyter Notebook projects. In less than an hour, you'll learn to build, customize, and share your first Jupyter Book, addressing the common challenge of sharing Jupyter Notebook files effectively. The course covers essential skills such as displaying LaTeX block style math, incorporating Plotly plots, and selectively excluding files from the final build. You'll gain practical experience with Jupyter Book's powerful features for creating widely shareable, interactive books that showcase your data science projects. This project is ideal for developers and data scientists looking to enhance their ability to communicate and present their work. By the end of the course, you'll have the skills to transform your Jupyter Notebooks into professional, interactive documentation that can be easily shared and accessed online.
Instructors:
English
English
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What you'll learn
Identify and explain various use cases for Jupyter Book in data science and research
Set up and configure a Jupyter Book environment for your projects
Build a complete, interactive Jupyter Book from existing Jupyter Notebooks
Incorporate LaTeX block style math equations into your Jupyter Book
Integrate interactive Plotly plots and visualizations into your documentation
Customize your Jupyter Book by selectively including or excluding specific files
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This guided project focuses on using Jupyter Book to create engaging and interactive reports from Jupyter Notebook files. Participants will learn how to set up Jupyter Book, build their own interactive books, and customize the output to include advanced features like LaTeX math equations and Plotly visualizations. The course addresses the common challenge of sharing Jupyter Notebook content in a more accessible and visually appealing format. Key topics include understanding use cases for Jupyter Book, setting up the Jupyter Book environment, and building a complete book from existing Jupyter Notebooks. This project is particularly valuable for data scientists, researchers, and technical writers who want to present their work in a more professional and interactive manner. By completing this course, learners will gain the skills to transform their data analysis and research into shareable, web-based documentation that enhances the visibility and impact of their work.
Fee Structure
Instructor
2 Courses
Emerging Data Scientist Specializing in Machine Learning and NLP
Richard Ye currently serves as a Data Scientist at IBM Skills Network while pursuing his studies in statistics. His professional focus centers on Machine Learning, Deep Learning with a particular emphasis on Natural Language Processing (NLP), and software development. As an instructor on the IBM Skills Network platform, he has created five guided projects that have reached over 2,500 learners, maintaining an impressive 4.4 rating
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Frequently asked questions
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