Books

Julia: High Performance Programming by Ivo Balbaert, Avik Sengupta, Malcolm Sherrington (697 pages; published: November 2016; ISBN: 9781787125704) In this learning path, you will learn to use an interesting and dynamic programming language—Julia! This book is a combination and curation of the three separate books by the three authors.
Julia Programming for Operations Research: A Primer on Computing by Changhyun Kwon (246 pages; published: 2016-05; ISBN: 978-1533328793) This book aims to teach how one can solve various optimization problems arising in operations research and management science.
Julia High Performance by Avik Sengupta (120 pages; published: 2016-05; ISBN: 9781785880919) This is a book about performance optimisation of Julia programs, showing how to design and write Julia code that fully realises the potential speed of the language and its libraries.
Mastering Julia by Malcolm Sherrington - published by Packt Publishing (410 pages; published: 2015-07; ISBN: 9781783553310)
Getting Started with Julia Programming by Ivo Balbaert - published by Packt Publishing (214 pages; published: 2015-02-28; ISBN: 9781783284795)
Seven More Languages in Seven Weeks by Bruce Tate, Fred Daoud, Jack Moffit and Ian Dees - published by The Pragmatic Programmers (350 pages; published: 2014-11-15; ISBN: 978-1-94122-215-7) This book contains a Julia tutorial chapter (written by Jack Moffitt and Bruce Tate) for programmers new to Julia, which is very good, with nice examples and exercises.
Julia for Data Science by Anshul Joshi (348 pages; published: 2016-09; ISBN: 9781785289699) Explore the world of data science from scratch with Julia by your side
Julia for Data Science by Zacharias Voulgaris PhD (415 pages; published: 2016-09-01; ISBN: 9781634621304). Master the essentials of data science through the Julia programming ecosystem (no prior knowledge of the language is required), accompanied by a variety of interesting examples and exercises.
Julia Cookbook by Jalem Raj Rohit - published by Packt Publishing (172 pages; published: 2016-09; ISBN: 9781785882012)
Julia Solutions by Jalem Raj Rohit - A comprehensive guide to learn data science for a Julia programmer - Produced by Packt Publishing (2 hours and 52 minutes long; published: January 31, 2017; ISBN: 9781787283299)
Getting Started with Julia by Erik Engheim - Learn the new language Julia for high performance technical computing - Produced by Packt Publishing (9 hours and 50 minutes long; published: March 31, 2017; ISBN: 9781786462978)
Learning Julia by Anshul Joshi, Rahul Lakhanpal (316 pages; published: November 2017; ISBN: 9781785883279). 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.

Tutorials

A Deep Introduction to Julia for Data Science and Scientific Computing by Chris Rackauckas
Programming in Julia (Quantitative Economics) - by Thomas J. Sargent and John Stachurski. Along with being a complete textbook with Julia code for macroeconomics, this also is a very good introduction to Julia.
The Julia Express by Bogumił Kamiński
Introducing Julia wikibook
Julia by Example by Samuel Colvin
Statistical Learning in Julia by Example by Theodore Papamarkou
Learn Julia in Y minutes by Leah Hanson
Learn Julia the Hard Way by Chris von Csefalvay
Hands-on Julia by David P. Sanders
A Comprehensive Tutorial to Learn Data Science with Julia from Scratch by Mohd Sanad Zaki Rizvi

Resources

A Julia cheat sheet by Steve Johnson
Julia.jl - Curated list of Julia resources and packages by Svaksha
Julia Observer - A website for browsing Julia packages by Dan Segal
Why your next project should use Julia slides from seminar by Eric Ford

Videos: Tutorials

Invitation to Julia by David P. Sanders at JuliaCon 2015. Supporting material here.
David P. Sanders gave a detailed Julia tutorial at SciPy 2014, which is a great starting point for a new Julia user. Also download the relevant IJulia notebooks that are used in the tutorial.

Steven Johnson’s keynote at EuroSciPy 2014: Crossing Language Barriers with Julia, SciPy, and IPython video and supporting material.

Julia Tutorial by Chase Coleman at PyDataDC 2016. Supporting material here.

Videos: Special topics

JuliaCon 2015 videos. 61 videos on a wide range of subjects, from the future of the core language to using parallel programming and air traffic control.
Free probability, random matrices and disorder in organic semiconductors by Jiahao Chen with the related slides and IJulia notebook.

Fast and Flexible Linear Algebra in Julia by Andreas Noack Jensen at Stanford in April 2015. The IJulia notebook is also available.

How Julia Goes Faster by Leah Hanson in December 2014.
JuliaCon 2014 featured a number of talks on various aspects of Julia and its development. Slides and IJulia notebooks are on Github.

A set of video tutorials were recorded at MIT in January 2013. Slides and other materials from the tutorial are on GitHub.

Articles and blog posts

Vectorization in Julia by Arch Robison
Graydon Hoare on Julia: part 1, part 2
Scientific computing’s future: Can any coding language top a 1950s behemoth? by Lee Phillips on ArsTechnica
HPC Programming with Ease by Eric Brown for the MIT Industrial Liaison Program
Julia: A New Language For Technical Computing by Douglas Eadline in Admin magazine

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