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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

Calling C and Python!

Julia, as we know it from our very first introduction, takes the best from both worlds. It matches Python in terms of ease of code and maintenance, while it targets to achieve the speeds of C.

But what if we really need to make outside calls to code or functions written in these two languages? We then require the ability to import the code directly into Julia, and be able to make use of it. Let's see, one by one, how Julia manages to make external calls to these two programming languages.

Calling C from Julia

C can be called as the mother of modern-day programming languages, and most of the
languages today use C somewhere in their source codes to either make their code run
quicker or just to add...

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