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Julia 1.0 Programming Complete Reference Guide

You're reading from   Julia 1.0 Programming Complete Reference Guide Discover Julia, a high-performance language for technical computing

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Product type Course
Published in May 2019
Publisher
ISBN-13 9781838822248
Length 466 pages
Edition 1st Edition
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Author (1):
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Ivo Balbaert Ivo Balbaert
Author Profile Icon Ivo Balbaert
Ivo Balbaert
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Table of Contents (18) Chapters Close

Preface 1. Installing the Julia Platform FREE CHAPTER 2. Variables, Types, and Operations 3. Functions 4. Control Flow 5. Collection Types 6. More on Types, Methods, and Modules 7. Metaprogramming in Julia 8. I/O, Networking, and Parallel Computing 9. Running External Programs 10. The Standard Library and Packages 11. Creating Our First Julia App 12. Setting Up the Wiki Game 13. Building the Wiki Game Web Crawler 14. Adding a Web UI for the Wiki Game 15. Implementing Recommender Systems with Julia 16. Machine Learning for Recommender Systems 17. Other Books You May Enjoy

Performance tips

Throughout this book, we have paid attention to performance. Here, we summarize some highlighted performance topics and give some additional tips. These tips need not always be used, and you should always benchmark or profile the code and the effect of a tip. However, applying some of them can often yield a remarkable performance improvement. Using type annotations everywhere is certainly not the way to go; Julia's type inferring engine does that work for you:

  • Refrain from using global variables. If unavoidable, make them constant with const, or at least annotate the types. It is better to use local variables instead; they are often only kept on the stack (or even in registers), especially if they are immutable.
  • Use a main() function to structure your code.
  • Use functions that do their work on local variables via function arguments, rather than mutating...
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