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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 learned how we can run C as well as Python codes in Julia. We also went on to study how one interacts with the operating system internals, including the filesystem and I/O-related tasks. We then moved forward to learn and explore the world of metaprogramming, where we read in detail about what expressions are, and how one can create macros, as well as use the already provided built-in macros.

In the next chapter, we will be using all the knowledge gained so far to apply our learning of the Julia language, and we'll work together to make the most of it for mathematical as well as for statistical purposes.

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