Book Image

Learning Jupyter 5 - Second Edition

Book Image

Learning Jupyter 5 - Second Edition

Overview of this book

The Jupyter Notebook 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, and machine learning. Learning Jupyter 5 will help you get to grips with interactive computing using real-world examples. The book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next, you will learn to integrate the Jupyter system with different programming languages such as R, Python, Java, JavaScript, and Julia, and explore various versions and packages that are compatible with the Notebook system. Moving ahead, you will master interactive widgets and namespaces and work with Jupyter in a multi-user mode. By the end of this book, you will have used Jupyter with a big dataset and be able to apply all the functionalities you’ve explored throughout the book. You will also have learned all about the Jupyter Notebook and be able to start performing data transformation, numerical simulation, and data visualization.
Table of Contents (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Summary


In this chapter, we added the ability to use R scripts in our Jupyter notebook. We added an R library that's 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. We also built a prediction model and tested its accuracy.

In the next chapter, we will learn all about Julia scripting using a Jupyter notebook.