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Introduction to Julia

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

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4 Hours16 Videos61 Exercises5,457 Learners5150 XP

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Course Description

Get Started with Julia Programming
Julia is a new and exciting programming language designed from its foundations to be the ideal language for scientific computing, machine learning, and data mining. This course will give you a running start in your journey with Julia.

We'll start from the very basics of Julia, so you can follow along if you have never programmed before. However, by the end of the course, you'll be analyzing DataFrames of patient data and book ratings. If you already know another programming language, we'll help you transfer this knowledge to Julia.

Learn the Basics of Julia Programming
Designed to encompass the speed of C, the general programming ability of Python, and the statistical prowess of R, Julia is simple to learn and very powerful.

As you work through this course, you'll learn about the special features of the Julia programming language, including how Julia handles data types.

Get a Thorough Introduction to Julia
You'll learn how to store and process data in arrays, write reusable code in functions, and use other popular packages to borrow other Julia developers' code. You'll learn about Julia's headline feature of multiple dispatch and make use of this feature yourself.

By the end of this course, you'll be familiar with coding in Julia, understanding the basics, including data types and structures, the functions and packages, and how to use DataFrames to work with tabular data.

  1. 1

    Julia basics

    Free

    Take your first steps towards coding with Julia and learn what makes this language unique. Learn about variables and data types, and perform simple calculations using Julia scripts and the interactive console.

    Play Chapter Now
    Getting started with Julia
    50 xp
    Using the console
    50 xp
    Julia as a calculator
    100 xp
    Printing
    100 xp
    Variables
    50 xp
    Valid variable names
    100 xp
    Assigning variables
    100 xp
    Calculating with variables
    100 xp
    Basic data types
    50 xp
    Recognizing data types
    100 xp
    Finding the data type
    100 xp
    Converting types
    100 xp

Datasets

BooksPatients

Collaborators

kackazahradova
Katerina Zahradova
izzyweber-9bc35945-95bd-423b-833e-40780c76586f
Izzy Weber
arnewarnke-95993b70-5646-4477-ad32-81956f03acb7
Arne Warnke
James Fulton Headshot

James Fulton

Climate Informatics Researcher

James is a PhD researcher at the University of Edinburgh, where he tutors computing, machine learning, data analysis, and statistical physics. His research involves using and developing machine learning algorithms to extract space-time patterns from climate records and climate models. He has held visiting researcher roles, working on planet-scale data analysis and modeling, at the University of Oxford and Queen's University Belfast and has a masters in physics where he specialized in quantum simulation. In a previous life, he was employed as a data scientist in the insurance sector. When not several indents deep in Python, he performs improvised comedy.
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