November 2018
Intermediate to advanced
460 pages
14h 1m
English
Content preview from Julia 1.0 Programming Cookbook
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Getting ready
Make sure you have the iris.csv file in your working directory, which was downloaded in the Reading CSV data from the internet recipe. Open the Julia command line and install the DataFrames.jl and CSV.jl packages if required, using the following commands:
julia> using Pkgjulia> Pkg.add("DataFrames")julia> Pkg.add("CSV")
In the GitHub repository for this recipe, you will find the commands.txt file, which contains the presented sequence of shell and Julia commands. The iris.csv file contains the data that we will analyze.
Now, continue to execute the commands in the Julia command line.
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", ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.