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 10. Jupyter and Big Data

Big data is the topic on everyone's mind. I thought it would be good to see what can be done with big data in Jupyter. An up-and-coming language for dealing with large datasets is Spark. Spark is an open source big data processing framework. Spark can run over Hadoop, in the cloud, or standalone. We can use Spark coding in Jupyter much like the other languages we have seen.

In this chapter, we will cover the following topics:

  • Installing Spark for use in Jupyter

  • Using Spark's features