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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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Toc

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

Binary files

Julia can handle binary files as easily as text files using read() and write().

Earlier, we created a simple grayscale image for a Julia set. Here, we will read the file and invert the image:

julia> cd(ENV["HOME"]*"/MJ2/DataSources/Files");
julia>img = open("juliaset.pgm");
julia>magic = chomp(readline(img))

We can open the file in the normal way. The first value is the “magic” number P5 (for a PGM file), terminated by \n, so we can get that with readline().

We will be creating another PGM file so that can write the magic number.

The next line comprises three integers – that is, the width and height of the image and the maximum pixel value (usually 255).

These are read and copied without change:

julia> if magic == "P5"
  out = open("jsetinvert.pgm", "w");
  println(out, magic);
  params = chomp(readline(img));
# Should be =>...
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