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Mastering Julia

You're reading from   Mastering Julia Enhance your analytical and programming skills for data modeling and processing with Julia

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781805129790
Length 506 pages
Edition 2nd Edition
Languages
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Author (1):
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Malcolm Sherrington Malcolm Sherrington
Author Profile Icon Malcolm Sherrington
Malcolm Sherrington
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Table of Contents (14) Chapters Close

Preface 1. Chapter 1: The Julia Environment 2. Chapter 2: Developing in Julia FREE CHAPTER 3. Chapter 3: The Julia Type System 4. Chapter 4: The Three Ms 5. Chapter 5: Interoperability 6. Chapter 6: Working with Data 7. Chapter 7: Scientific Programming 8. Chapter 8: Visualization 9. Chapter 9: Database Access 10. Chapter 10: Networks and Multitasking 11. Chapter 11: Julia’s Back Pages 12. Index 13. Other Books You May Enjoy

Configuring Julia and the OS

In the first chapter, we looked at installing Julia. For Windows and Apple, it is very easy: just a matter of downloading an executable and running it; this does, however, put the systems in a “known” place. Early versions of Linux also came with installations for Debian and Red Hat package managers but now this has been superseded by a (zipped) tar archive, which gives the user more latitude on where to install Julia.

Getting Julia sources

Julia sources are downloaded from the following directory: https://julialang.org/downloads. Currently, there are distributions available for Apple (Silicon) and FreeBSD in this directory. It’s worth noting that FreeBSD is a Linux derivative and served as the precursor to OS X. Therefore, the discussion here is applicable to these platforms as well. You have the option to download a source distribution, not necessarily for the purpose of building it, but rather to explore the code and gain insights...

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