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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

Under the hood

Julia is a great programming language. So far, we have talked about various reasons for this and given a number of examples to showcase how fast and easy it is to code and execute with Julia. But, how did Julia end up being this good? Sure, there must be different reasons for the positive argument, but in this part of the chapter, we will see all that goes on inside Julia to give it the edge it currently has.

Femtolisp

Femtolisp was started by Jeff Bezanson as a GitHub side project. According to him, the aim was to write the fastest lisp interpreter that could be written in under 1,000 lines of C code. This was the initial idea, which later grew bigger and gained attention. Femtolisp is simple and built...

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