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Learning Julia

You're reading from   Learning Julia Build high-performance applications for scientific computing

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781785883279
Length 316 pages
Edition 1st Edition
Languages
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Authors (2):
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Rahul Lakhanpal Rahul Lakhanpal
Author Profile Icon Rahul Lakhanpal
Rahul Lakhanpal
Anshul Joshi Anshul Joshi
Author Profile Icon Anshul Joshi
Anshul Joshi
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Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding Julia's Ecosystem FREE CHAPTER 2. Programming Concepts with Julia 3. Functions in Julia 4. Understanding Types and Dispatch 5. Working with Control Flow 6. Interoperability and Metaprogramming 7. Numerical and Scientific Computation with Julia 8. Data Visualization and Graphics 9. Connecting with Databases 10. Julia’s Internals

What is Juno?

Juno is built on Atom. It is a powerful and free environment for the Julia language. This contains many powerful features, such as:

  • Multiple cursors
  • Fuzzy file finding
  • Vim key bindings

Juno provides an environment that combines the features of the Jupyter Notebook and the productivity of the IDE. It is very easy to use and is a completely live environment. With Atom, you can install new packages through the Settings panel or through the command line using the apm command. So, if we need to install a new package and we know its name (let's say xyz), we can just write:

$ apm install xyz

There are many apm commands, which can be read using --help command:

$ apm --help

The following screenshot shows the Juno IDE installing process through Settings. We just need to go to the Settings tab and install new packages:

It is recommended to install Juno and go through it. It is an amazing development environment and should be used when you become a little more familiar with the language. Juno will look familiar to RStudio and Yhat's Rodeo users. The following screenshot from Juno's website shows us the coding panel, plots, console, and workspace:

 

We don't have to move to newer windows just to check the plot or don't need to manually find out the variables currently in the variable.

You have been reading a chapter from
Learning Julia
Published in: Nov 2017
Publisher: Packt
ISBN-13: 9781785883279
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