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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

Summary

In this chapter, we looked at three different ways that Julia can interact with other languages.

The first, simplest, and most effective is to refer to routines, residing in shared object libraries, usually created from C or Fortran compilers. We noted that this is also a convenient method to create some code and call it from Julia without any formal API being necessary.

Next, we considered some popular languages such as Python, R, and Java, and described how Julia packages exist to make the process simpler; also, we looked at how wrapper packages have been created to utilize existing ones, with a specific example of the SymPy Python package.

Finally, we discussed Julia’s ability to interface with the operating system in conjunction with pipelining and capturing the output and showed how by this mechanism it is possible to utilize other languages in a similar fashion to Unix utilities. The examples focused mainly on Perl but demonstrated briefly how languages...

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