IBM: Guided Project: Create Engaging Reports using Jupyter Book V2
|
Sharing information from native Jupyter files is not an easy task. In under an hour, learn how to create computational, visually engaging, and interactive reports using Jupyter Book easily.
About this course
Jupyter Notebook is a popular, streamlined application for analyzing data and creating data science projects. However, developers often experience difficulty when attempting to share the files created on Jupyter Notebook.
Jupyter Book is a powerful tool you can use to build widely shareable, interactive HTML documentation, including interactive visualizations in books using data from your Jupyter Notebook projects.
You will learn how to build, customize, and share your first Jupyter Book in under an hour. You will also learn how to display LaTex block style math, display Plotly plots, and exclude certain files from the final build. Completing this project will provide you with practical experience and provide you with fundamental Jupyter Book skills.
Ready to start? We have a workspace waiting for you. Get started fast using a pre-configured cloud-based IDE lab environment. You’ll find all the required software needed to get started, such as Jupyter Book, preinstalled. All you need is a recent version of a modern web browser.
At a Glance:
Institution: IBM
Subject: Computer Science
Level: Introductory
Prerequisites:
Access to a web browser
Basic knowledge of shell commands (optional)
Language: English
Video Transcript: English
User Reviews
Be the first to review “IBM: Guided Project: Create Engaging Reports using Jupyter Book V2”
Related Products
CurtinX: Introduction to Software Defined Networking
Learn and apply practical skills in Software Defined Networking for IoT applications.
UMontrealX: Machine Learning Use Cases in Finance
In the last six years, the financial sector has seen an increase in the use of machine learning models in financial, banking and insurance contexts. Data science and advanced analytics teams in the financial and insurance community are implementing these models regularly and have found a place for them in their toolbox.
UTAustinX: Advanced Linear Algebra: Foundations to Frontiers
Learn advanced linear algebra for computing.
Infinite Series
Investigate the convergence and divergence of infinite series, with applications in calculus and analysis.
Google: Google AI for JavaScript developers with TensorFlow.js
Get productive with TensorFlow.js - Google's Machine Learning library for JavaScript. From pre-made off the shelf models to writing or training your own, learn how to create next gen web apps.
Vital Statistics
Learn about vital statistics, focusing on data collection, analysis, and interpretation related to population health.
There are no reviews yet.