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


Docker is another mechanism that can be used to allow multiple users of the same notebook without collision. Docker is a system that allows you to construct sets of applications into an image that can be run in a container. It runs in most environments. Docker allows for many instances of an image to be run in the same machine, but maintains separate address space, so each user of a Docker image has their own instance of the software and their own set of data/variables.

Each image is a complete stack of software necessary to run, for example, a web server, web application(s), API(s), and so on.

It is not a large leap to think of an image of your notebook. The image contains Jupyter server code and your notebook. The result is a completely intact unit that does not share any space with another's instance.


Installing Docker involves downloading the latest version (the docker.dmg file for a Mac and the EXE install for Windows) and then copying the Docker applications into your...