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Julia 1.0 Programming Cookbook

You're reading from  Julia 1.0 Programming Cookbook

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Pages 460 pages
Edition 1st Edition
Languages
Authors (2):
Bogumił Kamiński Bogumił Kamiński
Profile icon Bogumił Kamiński
Przemysław Szufel Przemysław Szufel
Profile icon Przemysław Szufel
View More author details
Toc

Table of Contents (18) Chapters close

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Installing and Setting Up Julia 2. Data Structures and Algorithms 3. Data Engineering in Julia 4. Numerical Computing with Julia 5. Variables, Types, and Functions 6. Metaprogramming and Advanced Typing 7. Handling Analytical Data 8. Julia Workflow 9. Data Science 10. Distributed Computing 1. Other Books You May Enjoy Index

Reading CSV data from the internet


Often, you need to fetch data in CSV format from the internet. In this recipe, you will discover a simple way of fetching such data and reading it into DataFrame using the CSV.jl package. Then, we will look at how you can save this data back to a CSV file.

Getting ready

We will use a classic dataset calledIris, which is available for download here: https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data.

The citation is as follows:

@misc{R.A. Fisher , author = "R.A. Fisher ", year = "2017", title = "{UCI} Machine Learning Repository", url = "http://archive.ics.uci.edu/ml", institution = "University of California, Irvine, School of Information and Computer Sciences" }

Start your Julia command line and make sure that you do not have a file namediris.csvin your working directory. Also, make sure that you have theDataFrames.jland theCSV.jlpackages installed. If they are missing, then install them by running the commands using Pkg; Pkg.add("DataFrames...

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