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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Julia visualizations in Jupyter


The most popular tool for visualizations in Julia is the Gadfly package. We can add the Gadfly package (as described at the beginning of this chapter) using the add function:

Pkg.add("Gadfly")

From then on, we can make reference to the Gadfly package in any script using the following command:

using Gadfly

Julia Gadfly scatterplot

We can use the plot() function with standard defaults (no type arguments) to generate a scatterplot. For example, with the simple script:

using Gadfly
srand(111)
plot(x=rand(7), y=rand(7))

Note

We use the srand() function in all examples that use random results. The srand() function sets the random number seed value, so all results in this chapter are reproducible.

We generate a nice, clean scatterplot, as shown in the following screenshot:

Julia Gadfly histogram

We can produce other graph types as well, for example, a histogram using this script:

using Gadfly
srand(111)
plot(x=randn(113), Geom.histogram(bincount=10))

This script generates...