Learn Julia with these Excellent Free Resources

The Julia Language

By The Julia Project (998 pages)

This is the official documentation for Julia. It goes into great depth about the language.

This comprehensive book covers everything from strings, functions, control flow, types, methods, constructors, modules, to mulit-dimensional arrays, networking, global variables, environment variables, embedding Julia and so much more.

The Julia language is licensed under the MIT License.

The Julia Express

By Bogumił Kaminski (13 pages)

The purpose of this document is to introduce programmers to Julia programming by example. This short book is a simplified exposition of the language.

Chapters cover:

• Basic literals and types.
• Special literals and types;
• Strings.
• Programming constructs.
• Variable scoping
• Modules.
• Operators.
• Essential general usage functions.
• Reading and writing data.
• Random numbers.
• Statistics and machine learning
• Macros.
• Plotting

The Julia Express is published under the MIT License.

An Introduction to DataFrames

By Bogumił Kaminski

An Introduction to DataFrames offers readers a valuable insight into using DataFrames.

This tutorial covers:

• Constructors and conversion.
• Getting basic information about a data frame.
• Handling missing values.
• Load and save DataFrames.
• Manipulating columns of DataFrame.
• Manipulating rows of DataFrame.
• Working with CategoricalArrays.
• Joining DataFrames.
• Reshaping DataFrames.
• Transforming DataFrames – split-apply-combine.
• Performance tips.
• Possible pitfalls.
• Additional useful packages.

The tutorial works with Julia 1.0.

The book is published under the MIT License.

Julia by Example

By Samuel Colvin (–)

This is a set of articles that offer examples of Julia, the high-level, high-performance dynamic programming language for technical computing.

Covers:

• Hello World.
• Simple Functions.
• Strings Basics.
• String: Converting and formatting.
• String Manipulations.
• Arrays
• Error Handling
• Multidimensional Arrays
• Dictionaries.
• Loops and Map
• Types.
• Input & Output.
• Packages and Including of Files.
• Plotting.
• Winston.
• DataFrames.

This work is published under the MIT License.

Learn Julia in Y Minutes

By Leah Hanson and many contributors (Web page)

This tutorial covers the following topics:

• Primitive Datatypes and Operators.
• Variables and Collections.
• Control Flow.
• Functions.
• Types.
• Multiple-Dispatch.

This work is published under the Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) License.

Julia Language: A Concise Tutorial

By Antonello Lobianco (65 pages)

The purposes of this tutorial are (a) to store things the author has learned himself about Julia and (b) to help those who want to start coding in Julia before reading official documentation.

Chapters cover:

Language core:

• Getting started.
• Data types.
• Control flow.
• Functions.
• Custom structures.
• Input – Output.
• Managing run-time errors (exceptions).
• Interfacing Julia with other languages.
• Metaprogramming.
• Performances (parallelisation, debugging, profiling…).
• Developing Julia packages.

Useful packages:

• Plotting.
• DataFrames.
• JuMP.
• SymPy.
• Weave.
• LAJuliaUtils.
• IndexedTables.

License details are not specified.