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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 talked in detail about the things that make Julia stand out as a different language from all other modern-day programming languages, and some features that it derives from the already existing ones. However, during the journey, we got to know about Julia internals and how to improve Julia programming performance. We talked in detail about some of the tips and tricks for hassle-free coding, along with a detailed overview of Julia's standard library. Going further down one level, we explored what the internals of LLVM and JIT were. Toward the end of the chapter, we explained how to achieve parallel programming and create TCP sockets and servers along with creating a package in Julia.

With this, we have come to the end of this book. We have tried our best out to give you a good and detailed explanation of topics that relate closely to Julia and its...

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