Book Image

Learning Jupyter

By : Dan Toomey
Book Image

Learning Jupyter

By: Dan Toomey

Overview of this book

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode. Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book.
Table of Contents (16 chapters)
Learning Jupyter
About the Author
About the Reviewer

Chapter 7. Sharing and Converting Jupyter Notebooks

Once you have developed your notebook, you will want to share it with others. There is a typical mechanism available for sharing that we will cover in this chapter-placing your notebook on an accessible server on the Internet.

When you provide a notebook to another person, they may need the notebook in a different format given their system requirements. We will also cover some mechanisms available for providing your notebook to others in a different format as well.

In this chapter, we will cover the following topics:

  • Sharing notebooks

  • Converting notebooks