Reading about @JuliaLanguage as #opensource alternative to Matlab, then @o_guest's posts about Matlab @SfPRocur popped up on my TL
I want to try out more OS software in 2019. Anyone using Julia for neuroimage processing, statistics and visualisation? Tools and resources? Thx!
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Replying to @fmrwhy @JuliaLanguage and
Yeah that thread by
@o_guest really reignited my urge to get away from Matlab. Esp... That bit about the lack of compatibility about octave and Matlab... Also made me realize how much bad coding habits I am going to have to unlearn... Sigh...1 reply 2 retweets 7 likes -
I wish I could help you. Oh, Remi... it will be tough but worth it.
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I’ll have to see if I can find the very detailed blogpost that claimed - with evidence - that Julia wasn’t such a great speed improvement over properly optimised Python. And Python has two advantages: ubiquity and super-readable, simple syntax.
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Replying to @itjohnstone @o_guest and
Thx, sounds like a useful read. I mean, Python seems like obvious choice in fMRI processing given existing tools, libraries and community. My main interest in Julia is more curiosity driven. After a quick search I found a Julia NIfTI reader, but nth else.https://github.com/JuliaIO/NIfTI.jl …
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Here it is. A bit old. And disclaimer: I am not knowledgable enough to evaluate the claims. https://www.ibm.com/developerworks/community/blogs/jfp/entry/Python_Meets_Julia_Micro_Performance?lang=en …
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Replying to @itjohnstone @fmrwhy and
If you're asking me, learn one higher and one lower level language at least. So C/C++ and Python, for example, would be a good choice. When you need to write something custom that's fast you can drop into Cython. That's how I do it.
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I agree, for those further long the scripting/programming spectrum. For those at the other end (e.g. “plain” psychology), R and Python is maybe a decent mix.
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Definitely good starting point.
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