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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

Working with the OS and pipelines

Up to now, we have been discussing ways for Julia to operate with other programming languages.

For C (and Fortran), this was relatively straightforward, as Julia was designed with a mechanism to interface directly with shared libraries (aka DDLs on Windows). So, any system that effectively operates via a shared library is immediately available to Julia.

This means that graphics frameworks, database management systems (DBMS), and so on can all be made (more or less) easily accessible, and several successful packages have been implemented whose code depends on (and requires the installation of) third-party libraries.

These have been termed wrapper packages, as opposed to “native” ones, written purely in Julia. In practice, many packages are often a combination of both paradigms rather than being principally one or the other.

For some other languages, notably Python, R, and Java, effort was expended on creating usable interface...

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