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

Scope revisited


A variable that is defined at the top level is said to have global scope.

The for, while, and try blocks (but not the if blocks) all introduce a new scope. Variables defined in these blocks are only known to that scope. This is called the local scope, and nested blocks can introduce several levels of local scope. However, global variables are not accessible in for and while loops.

Variables with the same name in different scopes can safely be used simultaneously. If a variable exists both in global and local scope, you can decide which one you want to use by prefixing them with the global or local keyword:

  • global: This indicates that you want to use the variable from the outer, global scope. This applies to the whole of the current scope block.
  • local: This means that you want to define a new variable in the current scope.

 

The following example will clarify this, as follows:

# code in Chapter 4\scope.jl 
x = 9  
function funscope(n) 
  x = 0 # x is in the local scope of the function...