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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 functions are defined in Julia and how to play around with function arguments. We covered different types of argument passing methods, such as variable arguments, single arguments, and even no arguments. Later on in the chapter, we discussed how multiple dispatch makes Julia one of the best languages available in the programming world because of the speed boost it provides. Interestingly, we focused on a topic named recursion, which, although not specific to functions, was covered just to give a brief overview of what recursive functions are and how recursion is done in Julia. And, lastly, we covered some of the most commonly used built-in functions provided by Julia's rich library.

Now that we have a solid foundation of what functions are and how they empower a fellow Julia programmer, we shall head over to types, a very interesting and important topic, wherein we will talk in detail about types to help us understand what they are and how to create one...

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