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


In this chapter, we added widgets to our Jupyter installation and used the interact and interactive widgets to produce a variety of user input controls. We then looked in the widgets package in depth to examine some of the user controls available, the properties available in the containers, the events that are available emitting from the controls, and to work out how to build containers of controls.

In the next chapter, we will learn about sharing notebooks with other users. The typical method for sharing a notebook is to post it on a website so anyone can access the notebook. We will also cover how to convert notebooks to different formats. This allows users who don't have direct access to your notebook to see the effects.