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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
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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


We have now successfully completed this chapter, which was all about flow control in Julia. We saw how conditional and repeated evaluation works in Julia using keywords and various constructs such as if, while, and for, as well as discussing how to write good code that handles exceptions with constructs, such as try/catch. To conclude, we took a look at how to create tasks or coroutines in Julia using the special Task function.

In the next chapter, we shall move our focus towards learning metaprogramming in Julia, and understanding the various aspects of interoperability in the language.

 

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