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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

Why is Julia fast?

Julia’s “big” idea was to compile the program right down to the machine code level.

This was by incorporating the LLVM technology developed at Urbana-Champaign in the early 2000s. LLVM was originally termed as the low-level virtual machine but is now seen as a mnemonic. Conceptually, Julia Core is parsed via an internal Lisp (Femtolisp) translator and then compiled into an intermediate representation (IR), and then a machine-dependent LLVM compiler is invoked to produce the actual executable.

Although this represents an overhead, the code is cached (i.e., only compiled once), and much effort has gone into creating system images of the basic Julia system and caching individual packages. This makes execution times of the same “order” as C code, perhaps about (x2). C compilers are often better optimized, but LLVM is getting there quickly. So, Julia provides the holy grail of compact code as well as fast execution times. The downside...

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