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You're reading from  Learning Jupyter

Product typeBook
Published inNov 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781785884870
Edition1st Edition
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Dan Toomey
Dan Toomey
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Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey

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Basic Julia in Jupyter


In this example we will use the Iris dataset for some standard analysis. So, start a new Julia notebook and call it Julia Iris. We can enter a small script to see how the steps progress for a Julia script.

This script uses another package for plotting, Gadfly. You would have to go through similar steps as before to install the package before operating the script.

Enter the following script into separate cells of your notebook:

using RDatasets, DataFrames, Gadfly
set_default_plot_size(5inch, 5inch/golden);
plot(dataset("datasets","iris"), x="SepalWidth",
        y="SepalLength", color="Species")

RDataSets is a library containing several of the commonly used R datasets, such as Iris. This is a simple script-we define our libraries that we are going to use, set the size of the plot area, and plot out the Iris data points (color coded to species).

So, you would end up with a starting screen that looks like the following screenshot:

We should take note of a few aspects...

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Learning Jupyter
Published in: Nov 2016Publisher: PacktISBN-13: 9781785884870

Author (1)

author image
Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey