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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

Summary

In this chapter, we saw how Julia provides a set of very advanced and feature-rich libraries to accomplish the mammoth task of effectively doing data visualization. In the starting section, we got to know how PyPlots work and how we can make simple graphical plotting using the package. However, in the later sections of the chapter, we went into detail about the two most popular libraries in Julia, namely Vega.jl and Gadfly.jl.

We will now be shifting our focus, and in the next chapter, we will discuss how to use a database in Julia and what packages, as well as database bindings, are available to help us accomplish the task.

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