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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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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

Performance enhancements

This can be a very crucial topic to discuss when it comes to first-time coders in Julia. As we already know, Julia is quick and fast, but its speed can easily be hampered if the underlying code is badly written or it's inspired by paradigms of some other language like Python.

As per the official website, there can be a number of things we can do as a Julia programmer to enhance the performance of the overall code. We will now discuss them one by one.

Global variables

The use of global variables in a wrong way can certainly put brakes on the performance. A global variable has a value and a data type associated with it, which can change over time, thus making it difficult for the compiler to actually...

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