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 1. Introduction to Jupyter

Jupyter is a tool that allows data scientists to record their complete analysis process, much in the same way other scientists use a lab notebook to record tests, progress, results, and conclusions.

The Jupyter product was originally developed as part of the IPython project. The IPython project was used to provide interactive online access to Python. Over time it became useful to interact with other data analysis tools, such as R, in the same manner. With this split from Python, the tool grew into its current manifestation of Jupyter. IPython is still an active tool that's available for use. The name Jupyter itself is derived from the combination of Julia, Python, and R.

Jupyter is available as a web application from a number of places. It can also be used locally over a wide variety of installations. In this book, we will be exploring using Jupyter on a Mac and a Windows PC and over the Internet with other providers.

In this chapter, we will cover the following topics:

  • First look at Jupyter

  • Installing Jupyter on Windows

  • Installing Jupyter on Mac

  • Notebook structure

  • Notebook workflow

  • Basic notebook operations

  • Security in Jupyter

  • Configuration options for Jupyter