Book Image

Julia 1.0 Programming. - Second Edition

By : Ivo Balbaert
Book Image

Julia 1.0 Programming. - Second Edition

By: Ivo Balbaert

Overview of this book

The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you’ll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Learning JuliaAnshul Joshi, Rahul Lakhanpal

ISBN: 978-1-78588-327-9

  • Understand Julia's ecosystem and create simple programs
  • Master the type system and create your own types in Julia
  • Understand Julia's type system, annotations, and conversions
  • Define functions and understand meta-programming and multiple dispatch
  • Create graphics and data visualizations using Julia

Hands-On Computer Vision with JuliaDmitrijs Cudihins

ISBN: 978-1-78899-879-6

  • Analyze image metadata and identify critical data using JuliaImages
  • Apply filters and improve image quality and color schemes
  • Extract 2D features for image comparison using JuliaFeatures
  • Cluster and classify images with KNN/SVM machine learning algorithms
  • Recognize text in an image using the Tesseract library