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

Basic R in Jupyter


Start a new R Notebook and call itR Basics. We can enter a small script just so we can see how the steps progress for R script. Enter the following into separate cells of your Notebook:

myString <- "Hello, World!" 
print (myString) 

From here, you will end up with a starting screen that looks like this:

We should note the aspects of the R Notebook view:

  • We have the R logo in the upper-right corner. You will see this logo running in other R installations.
  • There is also the peculiar RO just below the R icon. If the O unfilled circle displays, the unfilled circle indicates that the kernel is at rest, and the filled circle indicates that the kernel is working.
  •  The rest of the menu items are the same as the ones we saw previously.

This is a very simple script–set a variable in one cell and then print out its value in another cell. Once executed (Cell |Run All), you will see your results:

So, just as if you run the script in an R interpreter, you get your output (with the numerical...