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Learning Julia

You're reading from   Learning Julia Build high-performance applications for scientific computing

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781785883279
Length 316 pages
Edition 1st Edition
Languages
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Authors (2):
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Rahul Lakhanpal Rahul Lakhanpal
Author Profile Icon Rahul Lakhanpal
Rahul Lakhanpal
Anshul Joshi Anshul Joshi
Author Profile Icon Anshul Joshi
Anshul Joshi
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Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding Julia's Ecosystem FREE CHAPTER 2. Programming Concepts with Julia 3. Functions in Julia 4. Understanding Types and Dispatch 5. Working with Control Flow 6. Interoperability and Metaprogramming 7. Numerical and Scientific Computation with Julia 8. Data Visualization and Graphics 9. Connecting with Databases 10. Julia’s Internals

Understanding arrays, matrices, and multidimensional arrays


An array is an indexable collection of objects such as integers, floats, and Booleans, which are stored in a multidimensional grid. Arrays in Julia can contain values of the Any type. Arrays are implemented internally in Julia itself.

In most of the other languages, the indexing of arrays starts with 0. In Julia, it starts with 1:

# creating an array
julia> simple_array = [100,200,300,400,500]
5-element Array{Int64,1}:
100
200
300
400
500

# accessing elements in array
julia> simple_array[2]
200

julia> simple_array[2:4]
3-element Array{Int64,1}:
200
300
400

In the preceding example, we can see that, unlike other programming languages, indexes start from 1.

# creating an array using randomly generated values
julia> rand_array = rand(1:1000,6)
6-element Array{Int64,1}:
378
 57
...

We previously discussed that the types of values in an array are homogeneous:

# types of values in array are homogeneous
julia> another_simple_array...
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