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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

Interoperability

In this chapter, I will discuss cooperation between Julia and other languages with the underlying operating system, and how Julia naturally encourages the use of parallel processing without the need for frameworks such as Hadoop or Spark.

The developers of Julia naturally focused on calling from Julia, and most of the discussions will be concerned with that; however, handles were provided to go the other way and call Julia from C and hence incorporate it into foreign code. A brief overview of this is given later.

Julia has a rich and varied syntax, but a vast wealth of code has always existed in object libraries covering a wide range of specialties. So, it was considered that a simple mechanism to call functions from these libraries would prove to be useful, and a one-line native ccall() instruction call was added. This became a cornerstone of the way Julia operates, as we will see later.

C-style connectivity led to the development of packages that effectively...

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