Book Image

Getting Started with Julia

By : Ivo Balbaert
Book Image

Getting Started with Julia

By: Ivo Balbaert

Overview of this book

Table of Contents (19 chapters)
Getting Started with Julia
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
The Rationale for Julia
Index

Matrices


We know that the notation [1, 2, 3] is used to create an array. In fact, this notation denotes a special type of array, called a (column) vector in Julia, as shown in the following screenshot:

To create this as a row vector (1 2 3), use the notation [1 2 3] with spaces instead of commas. This array is of type 1 x 3 Array{Int64,2}, so it has two dimensions. (The spaces used in [1, 2, 3] are for readability only, we could have written this as [1,2,3]).

A matrix is a two- or multi-dimensional array (in fact, a matrix is an alias for the two-dimensional case). In fact, we can write this as follows:

Array{Int64, 1} == Vector{Int64} #> true
Array{Int64, 2} == Matrix{Int64} #> true

As matrices are so prevalent in data science and numerical programming, Julia has an amazing range of functionalities for them.

To create a matrix, use space-separated values for the columns and semicolon-separated for the rows:

// code in Chapter 5\matrices.jl:
matrix = [1 2; 3 4] 
    2x2 Array{Int64,2...