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 the ability to use R scripts in your Jupyter Notebook. We added an R library not included in the standard R installation and we made a Hello World script in R. We then saw R data access built-in libraries and some of the simpler graphics and statistics that are automatically generated. We used an R script to generate 3D graphics in a couple of different ways. We then performed a standard cluster analysis (which I think is one of the basic uses of R) and used one of the available forecasting tools.

In the next chapter, we will learn all about Julia scripting in a Jupyter Notebook.