Julia

[saso]

Julia 1.8 Highlights
https://julialang.org/blog/2022/08/juli ... ighlights/
https://julialang.org/downloads/

check also the presentations from SciMLCon 2022
https://scimlcon.org/2022/
https://www.youtube.com/playlist?list=P ... jEBjaamzvw

and JuliaCon 2022
https://juliacon.org/2022/
https://www.youtube.com/playlist?list=P ... RMi9Cp7gSX

and DigiWell Julia Seminar Talks
https://www.youtube.com/playlist?list=P ... O6O0jTblqX

[saso]

Julia 1.10 Highlights
https://julialang.org/blog/2023/12/juli ... ighlights/
https://julialang.org/downloads/

Julia 1.9 Highlights
https://julialang.org/blog/2023/04/juli ... ighlights/

check also presentations from JuliaCon 2023
https://juliacon.org/2023/
https://www.youtube.com/playlist?list=P ... BGdqRT_ZTE
https://www.youtube.com/playlist?list=P ... FsrrH-oEZC

and ASE60 (Alan Edelman's 60th Birthday Celebration)
https://www.youtube.com/playlist?list=P ... sTkmQ3m1FL

and FerriteCon 2023
https://www.youtube.com/playlist?list=P ... Vh291rwo2l
https://ferrite-fem.github.io/FerriteCon/
https://github.com/Ferrite-FEM/Ferrite.jl

and Julia High Energy Physics (HEP) Workshop 2023
https://www.youtube.com/playlist?list=P ... WHyNdXaPNb

and JuliaCon Local Eindhoven 2023
https://juliacon.org/local/eindhoven2023/
https://www.youtube.com/playlist?list=P ... 3_O5Vjm_e2

[onekk]

Did you try to use julia in a python script and see if it is usable as told in:

https://towardsdatascience.com/run-nati ... d3e1079385

To see how much gain there is in using julia?

If it is worth in term of speed and usability I think that some appropriate step by step instructions even if is you are adding and entire language suite will be worth to have as alternative to as example rewriting things in C++ for heavy computational tasks like Gordon Surfaces or similar computations.

In this case it will be interesting to see as example what is the overall space taken to install these packages and if they could be integrated in an AppIMage (so it is worth to see if conda is supporting julia).


Kind Regards

Carlo D.

[mariusd]

I have switched to Julia after 10 years of Python and Matlab.
For loops were un-avoidable for my tasks. In such cases, I have measured Julia to be between 200x and 8000x times faster than Python. With the same coding effort, I've got this amazing boost in performance and I was able to explore a lot more ideas. I was able to run algorithms in 12 hours with Julia which would require more than 1 year of running with Python.

Did you try to use julia in a python script and see if it is usable as told in:

https://towardsdatascience.com/run-nati ... d3e1079385

To see how much gain there is in using julia?

If it is worth in term of speed and usability I think that some appropriate step by step instructions even if is you are adding and entire language suite will be worth to have as alternative to as example rewriting things in C++ for heavy computational tasks like Gordon Surfaces or similar computations.

In this case it will be interesting to see as example what is the overall space taken to install these packages and if they could be integrated in an AppIMage (so it is worth to see if conda is supporting julia).


Kind Regards

Carlo D.

[saso]

Few videos on Julia from Engineering Research Training https://www.youtube.com/playlist?list=P ... -zYKZdeFUi

Getting Started with Julia: Workflow
https://www.youtube.com/watch?v=Xn-Q_wuR5Uo

Reverse mode AD / backprop: explanation, Julia example, and custom rules
https://www.youtube.com/watch?v=T4wdAjU9HGk

Using and Developing Julia Packages
https://www.youtube.com/watch?v=K7ip950421Y

Speed Performance w/ Julia Programming Language
https://www.youtube.com/watch?v=2UH4mSaXWJE