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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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Anshul Joshi Anshul Joshi
Author Profile Icon Anshul Joshi
Anshul Joshi
 Lakhanpal Lakhanpal
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Lakhanpal
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Table of Contents (17) Chapters Close

Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
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

Vega


Vega is a data visualization library that provides a Julia wrapper around the Vega Visualization Grammar from Trifacta. It was created and developed by Randy Zwitch as an open source project.

Installing Vega is pretty simple to do, as listed in the METADATA.jl:

julia> Pkg.add("Vega")
julia> using Vega

However, Vega requires an internet connection to render all graphs because it does not store local copies of the JavaScript libraries. However, efforts are made to actually include all the JavaScript libraries as part of the package so that it does not require any internet connection in the future.

Vega provides a series of composite types, which are literally just the translation of Vega grammar in Julia. They help the end user to build visualizations in native Julia syntax. The following are all the primitives defined in Julia:

  • VegaVisualization
  • VegaData
  • VegaScale
  • VegaAxis
  • VegaLegend
  • VegaMark

Apart from these visualizations, Vega also provides interactivity to the graphs by providing some...

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