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Julia 1.0 Programming

You're reading from   Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications

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Product type Paperback
Published in Sep 2018
Publisher
ISBN-13 9781788999090
Length 196 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Ivo Balbaert Ivo Balbaert
Author Profile Icon Ivo Balbaert
Ivo Balbaert
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Table of Contents (12) Chapters Close

Preface 1. Installing the Julia Platform FREE CHAPTER 2. Variables, Types, and Operations 3. Functions 4. Control Flow 5. Collection Types 6. More on Types, Methods, and Modules 7. Metaprogramming in Julia 8. I/O, Networking, and Parallel Computing 9. Running External Programs 10. The Standard Library and Packages 11. Other Books You May Enjoy

Installing and working with IJulia

IJulia (https://github.com/JuliaLang/IJulia.jl) is a combination of the Jupyter Notebook interactive environment (http://jupyter.org/) with a Julia language backend. It allows you to work with a powerful graphical notebook (which combines code, formatted text, math, and multimedia in a single document) with a regular REPL. Detailed instructions for installation can be found at the GitHub page for IJulia (https://github.com/JuliaLang/IJulia.jl) and in the Julia at MIT notes (https://github.com/stevengj/julia-mit/blob/master/README.md). Add the IJulia package in the REPL package mode with add IJulia.

Then, whenever you want to use it, start up a Julia REPL and type the following commands:

using IJulia 
notebook()

If you want to run it from the command line, type:

jupyter notebook 

The IJulia dashboard should look as follows:

The IJulia dashboard

You should see the Jupyter logo in the upper-left corner of the browser window. Julia code is entered in the input cells (the input can be multiline) and then executed with Shift + Enter

Here is a small example (ijulia-example.jl):

The output should be something as follows:

An IJulia session example

In the first input cell, the value of b is calculated from a:

a = 5 
b = 2a^2 + 30a + 9 

In the second input cell, we use PyPlot. Install this package with add PyPlot in the REPL package mode, and by issuing using PyPlot in the REPL.

The range(0,stop=5,length=101) command defines an array of 100 equally spaced values between 0 and 5; y is defined as a function of x and is then shown graphically with the plot command, as follows:

using PyPlot 
x = range(0,stop=5,length=101)
y = cos.(2x .+ 5) plot(x, y, linewidth=2.0, linestyle="--") title("a nice cosinus") xlabel("x axis") ylabel("y axis")

Save a notebook in file format (with the .ipynb extension) by downloading it from the menu.

You have been reading a chapter from
Julia 1.0 Programming - Second Edition
Published in: Sep 2018
Publisher:
ISBN-13: 9781788999090
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