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


Once Jupyter notebooks were shared, it became obvious that the multiuser problem had to be solved. A new version of the Jupyter software was developed, called JupyterHub. JupyterHub was specifically designed to handle multiple users, giving each user their own set of variables to work with. Actually, the system will give each user a whole new instance of the Jupyter software to each user-a brute force approach, but it works.

When JupyterHub starts up, it initiates a hub or controlling agent. The hub will start an instance of a listener or proxy for Jupyter requests. When the proxy gets requests for Jupyter it turns them over to the hub. If the hub decides that this is a new user, it will generate a new instance of the Jupyter server and attach all further interactions between that user and Jupyter to their own version of the server.


JupyterHub requires Python 3.3 or newer, and we will use the pip3 Python tool to install JupyterHub. You can check the version of Python...