Book Image

Learning Julia

By : Anshul Joshi, Rahul Lakhanpal
Book Image

Learning Julia

By: Anshul Joshi, Rahul Lakhanpal

Overview of this book

Julia is a highly appropriate language for scientific computing, but it comes with all the required capabilities of a general-purpose language. It allows us to achieve C/Fortran-like performance while maintaining the concise syntax of a scripting language such as Python. It is perfect for building high-performance and concurrent applications. From the basics of its syntax to learning built-in object types, this book covers it all. This book shows you how to write effective functions, reduce code redundancies, and improve code reuse. It will be helpful for new programmers who are starting out with Julia to explore its wide and ever-growing package ecosystem and also for experienced developers/statisticians/data scientists who want to add Julia to their skill-set. The book presents the fundamentals of programming in Julia and in-depth informative examples, using a step-by-step approach. You will be taken through concepts and examples such as doing simple mathematical operations, creating loops, metaprogramming, functions, collections, multiple dispatch, and so on. By the end of the book, you will be able to apply your skills in Julia to create and explore applications of any domain.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
8
Data Visualization and Graphics

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...