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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

Quo Vadis, Julia?

What have I missed?, quite a lot you may be thinking. What I want to do in this final section is just to highlight some of these aspects and perhaps pull the threads together and see what I might conclude as to where Julia might be going from now (viz., Xmas 2023).

Julia’s original reason for existence over 10 years ago was that it compiled its source code into native code, hence providing a great reduction in execution times. But what one can create, another can emulate, and I have seen that coming out of the MIT stable, following on from Julia, is a system called Codon that purports to do the same to the ubiquitous Python language: https://github.com/exaloop/codon.

In a year when the James Webb Space Telescope (JWST) has detected supergalaxies where there should be nothing at all, implying the Big Bang (Alan Guth’s) cosmic inflation theory, dark matter, and energy may all be incorrect, this may be a futile occupation, but I hope at least it will...

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