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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

Generated functions

A generated function is a user-defined function that gets expanded at compile time, allowing it to generate code based on its argument types. It has proved to be of value in some specialized areas but is not widely used.

To define a generated function, we use the @generated macro, which indicates that the function should be expanded at compile time, rather than executed at runtime.

The body of the generated function has access to the types of arguments but not their values, so it is possible to perform type-based dispatch based on the function’s arguments.

They are seen as being useful when the behavior of the code depends on the specific types involved. For example, when mathematical operations need to be performed differently for integers and floating-point numbers, a generated function can create optimized code for each case.

It should be noted that work on the compilation and execution of “regular” Julia code has currently made...

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