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* James V Lambers, Amber Sumner Mooney, Vivian A Montiforte, and James Quinlan, [Explorations in Numerical Analysis and Machine Learning with Julia](https://www.worldscientific.com/worldscibooks/10.1142/14443#t=aboutBook). World Scientific, October 2025.
* Antonello Lobianco. [Julia Quick Syntax Reference, 2nd ed.](https://doi.org/10.1007/979-8-8688-0965-1). Apress, January 2025.
* Andreas Varga, [Solving Fault Diagnosis Problems - Linear Synthesis Techniques with Julia Code Examples](https://link.springer.com/book/10.1007/978-3-031-35767-1), 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](https://github.com/andreasvarga/FaultDetectionTools.jl) and [DescriptorSystems.jl](https://github.com/andreasvarga/DescriptorSystems.jl) packages and are available [here](https://github.com/andreasvarga/FaultDetectionTools.jl/tree/master/Examples).
* Martin Vuk, [Numerical Mathematics with Julia programming language (in Slovenian)](http://zalozba.fri.uni-lj.si/vuk2024.pdf), Založba UL FRI, Ljubljana, 2024. Code examples from the book are available [here](https://gitlab.com/nummat/nummat-knjiga).
* Bartłomiej Łukaszuk, [Romeo and Julia, where Romeo is Basic Statistics](https://b-lukaszuk.github.io/RJ_BS_eng/), [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/), 2023.
* Júlio Hoffimann, [Geospatial Data Science with Julia](https://juliaearth.github.io/geospatial-data-science-with-julia), Open Access, 2023.
* Lee Phillips. [Practical Julia: A Hands-On Introduction for Scientific Minds](https://nostarch.com/practical-julia), No Starch Press, October 2023.
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