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# science
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altavir

01/31/2021, 6:28 AM
Next tuesday at 18:00 Moscow time, there will be an open laboratory seminar in English seminar about using kotlin, jupyter and our libraries for real-life neutrino mass experiment analysis. The calendar link Meet link: https://meet.google.com/fzy-buqp-srg
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holgerbrandl

02/03/2021, 5:04 PM
Thanks for sharing. I liked to see kmath in action. Looks really nice. Looking forward to it as a replacement for commons-math which seems to be stuck at v3.6 since an eternity (despite of being actively developed)
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altavir

02/03/2021, 5:06 PM
Yeah, I've contributed a bit into common-numbers before starting with kmath and I took some ideas from it. Sadly, it is stuck where I left it three or four years ago. We have kmath-commons bindings on top of commons-maths and kmath-random uses commons-rng for JVM.
And we are constantly upgrading something. For example, I found out during the seminar that Histogram API should be improved and I am doing it right now.
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Also we have a lot of pull requests waiting to be discussed and merged: https://github.com/mipt-npm/kmath/pulls. We will be really greatful for discussion and comments.
And I can say it again. Kotlin is super-nice. We can do much more concise APIs than in Python and make them fast at the same time.
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holgerbrandl

02/03/2021, 5:10 PM
Indeed. I wish more people would realize it's potential for datascience.
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