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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
Concepts
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Author (1):
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Malcolm Sherrington Malcolm Sherrington
Author Profile Icon Malcolm Sherrington
Malcolm Sherrington
Dr Malcolm Sherrington has been working in computing for over 35 years. He holds degrees in Mathematics, Chemistry and Engineering and has lectured at two separate universities in the UK as well as working in the Aerospace and Healthcare Industries. Currently he is running his own company working in the Finance sector, with specific interests in High Performance Computing and applications of GPUs and parallelism.nAlways hands-on, Malcolm started programming scientific problems in Fortran and C, progressing thorough Ada and Common Lisp and recently became involved with data processing and analytics in Perl, Python and R.nMalcolm is the organizer of the London Julia User Group, as well as a co-organizer of the UK - High Performance Computing and the Financial Engineers and Quants London meetup groups.
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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

Getting started with Julia

Starting to program in Julia is very easy. Naturally, the first task you will need to do is to install Julia on your computer. Thankfully, this has been made very simple. In the early versions of Julia, it was necessary to build from source but was largely made redundant with binaries for the major operating systems.

We differentiate between several different sets of sources:

  • Windows
  • Apple macOS
  • Generic Linux (x86)
  • Generic Linux (ARM)
  • Free BSD
  • Source (necessary for other OSs)

As noted previously, the best place to look is the main Julia website (http://julialang.org), and navigate to the Downloads tab on the menu.

Windows and macOS are serviced by exe and dmg binaries, respectively. In these cases, installation is as simple as downloading the binary and clicking on it, and everything else is handled by the installer. As of v1.9, a source on Apple macOS is now available for the new M-series processors, in addition to...

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Authors (1)

Profile icon Malcolm Sherrington
Malcolm Sherrington
Dr Malcolm Sherrington has been working in computing for over 35 years. He holds degrees in Mathematics, Chemistry and Engineering and has lectured at two separate universities in the UK as well as working in the Aerospace and Healthcare Industries. Currently he is running his own company working in the Finance sector, with specific interests in High Performance Computing and applications of GPUs and parallelism. Always hands-on, Malcolm started programming scientific problems in Fortran and C, progressing thorough Ada and Common Lisp and recently became involved with data processing and analytics in Perl, Python and R. Malcolm is the organizer of the London Julia User Group, as well as a co-organizer of the UK - High Performance Computing and the Financial Engineers and Quants London meetup groups.
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