Andreas Varga, Solving Fault Diagnosis Problems - Linear Synthesis Techniques with Julia Code Examples, Vol. 482 of Studies in Systems, Decision and Control, Springer Nature Switzerland, 2024. The computational examples presented in the book use functions of the FaultDetectionTools.jl and DescriptorSystems.jl packages and are available here.
Bartłomiej Łukaszuk, Romeo and Julia, where Romeo is Basic Statistics, CC BY-NC-SA 4.0, 2023.
Júlio Hoffimann, Geospatial Data Science with Julia, Open Access, 2023.
Lee Phillips. Practical Julia: A Hands-On Introduction for Scientific Minds, No Starch Press, October 2023.
Adeil Araújo and Meirivâni Oliveira, "Julia with Physics: An Introduction" in Portuguese, Seduc - CE, September 2023.
Florian Heiss and Daniel Brunner, "Using Julia for Introductory Econometrics", Independently published, May 3, 2023.
C. T. Kelley, Solving Nonlinear Equations with Iterative Methods. Solvers and Examples in Julia, SIAM, 2022. The book comes with a package SIAMFANLequations.jl and a set of Jupyter notebooks.
Bogumił Kamiński. Julia for Data Analysis, Manning Publications, December 2022
Marilena Mitrouli. ΑΡΙΘΜΗΤΙΚΗ ΓΡΑΜΜΙΚΗ ΑΛΓΕΒΡΑ ΚΑΙ ΕΠΙΣΤΗΜΟΝΙΚΟΙ ΥΠΟΛΟΓΙΣΜΟΙ (Arithmetical Linear Algebra and Scientific Computations), ΕΚΠΑ, December 2022.
Logan Kilpatrick, Nolan Fortman. Julia Crash Course 🚀: Learn the worlds fastest growing programming language, December 2022
Ahmad Chitsazzadeh. Data Analysis with Julia Programming Language, Tehran Dibagaran Publications, October 2022. The book is in Persian language that is also available as e-book at fidibo.com
Tobin A. Driscoll, Richard J. Braun. Fundamentals of Numerical Computation: Julia Edition. SIAM-Society for Industrial and Applied Mathematics, 2022
George Datseris, Ulrich Parlitz. Nonlinear Dynamics: A Concise Introduction Interlaced with Code. Springer, 2022
Hayden Klok, Yoni Nazarathy. Statistics with julia: Fundamentals for data science, machine learning and artificial intelligence. Springer, 2021
Noel Kalicharan. Julia - Bit by Bit. Springer, 2021.
Jose Storopoli, Rik Huijzer and Lazaro Alonso. Julia Data Science, October 2021.
Stanley H. Chan. Intro to Probability for Data Science, November 2021. The book is also available freely as HTML and PDF at probability4datascience.com. Code is in Julia/Python/R/Matlab.
Sambit Kumar Dash. Hands-on Julia Programming, Bpb Publications, October 2021.
Erik Engheim. Julia for Beginners, January 2021.
Mykel J. Kochenderfer, Tim A. Wheeler, and Kyle H. Wray. Algorithms for Decision Making, December 2020.
Christopher P. Adams. Learning Microeconometrics with R, December 2020; Has Julia code for all 12 chapters.
Raj Rao. Applied Computational Linear Algebra for Everyone, December 2020; Interactive, experential computational book as described in this JuliaCon talk
Bogumił Kamiński and Paweł Prałat. Train Your Brain - Challenging Yet Elementary Mathematics, December 2020; a free on-line Julia language companion is available for download.
Ahan Sengupta The Little Book of Julia Algorithms. SAV Publishing, September 2020.
Zacharias Voulgaris. Julia for Machine Learning. Technics Publications, June 2020.
Tom Kwong. Hands-on Design Patterns and Best Practices with Julia. Packt Publishing, January 2020.
Tanmay Bakshi. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages. McGraw Hill, November 2019.
Antonello Lobianco. Julia Quick Syntax Reference. Apress, November 2019.
Bogumił Kamiński and Przemysław Szufel. Julia プログラミングクックブック. Japanese translation for Julia 1.2 by Hidemoto Nakada. Orairījapan, Tōkyo, October 2019.
Günter Faes. Datenanalyse mit Julia: Einstieg in die Datenanalyse mit der Programmiersprache Julia. Books on Demand, September 2019.
Avik Sengupta. Julia High Performance, 2nd Ed.. Packt Publishing, June 2019.
Ben Lauwens and Allen B. Downey. Think Julia. O’Reilly Media, June 2019.
Giray Ökten. First Semester in Numerical Analysis with Julia. Florida State University Libraries, April 2019.
Changhyun Kwon. Julia Programming for Operations Research. March 2019.
Mykel J. Kochenderfer and Tim A. Wheeler. Algorithms for Optimization. MIT Press, March 2019.
Paul D. McNicholas and Peter Tait. Data Science with Julia. Chapman and Hall/CRC, January 2019.
Adrian Salceanu. Julia Programming Projects. Packt Publishing, December 2018.
Bogumił Kamiński and Przemysław Szufel. Julia 1.0 Programming Cookbook. Packt Publishing, November 2018.
Ivo Balbaert. Julia 1.0 Programming. Packt Publishing, September 2018.
Julia 1.0 was released on 8 August 2018
Dmitrijs Cudihins. Hands-on Computer Vision with Julia. Packt Publishing, June 2018.
Stephen Boyd and Lieven Vandenberghe. Introduction to Applied Linear Algebra. Cambridge University Press, June 2018.
Anshul Joshi and Rahul Lakhanpal. Learning Julia. Packt Publishing, November 2017.
Dominique Orban and Mario Arioli. Iterative Solution of Symmetric Quasi-definite Linear Systems. Society for Industrial and Applied Mathematics, April 2017.
Sandeep Nagar. Beginning Julia Programming For Engineers and Scientists. Apress, 2017
Jalem Raj Rohit. Julia Cookbook. Packt Publishing, September 2016.
Zacharias Voulgaris. Julia for Data Science. Technics Publications, September 2016.
Avik Sengupta. Julia High Performance. Packt Publishing, April 2016.
Anshul Joshi. Julia for Data Science. Packt Publishing, 2016.
Ivo Balbaert, Avik Sengupta, and Malcolm Sherrington. Julia: High Performance Programming. Packt Publishing, 2016.
Ivo Balbaert. Getting Started with Julia Programming Language. Packt Publishing, 2015.
Malcolm Sherrington. Mastering Julia. Packt Publishing, 2015.
Bruce Tate, Ian Dees, Frederic Daoud, and Jack Moffit. Seven More Languages in Seven Weeks. The Pragmatic Programmers, December 2014.
Have a Julia book you want added to this list? Please open an issue or pull request.