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Nrpf
searching PlanetScale…
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Distributed and on disk Pandas and Numpy
(youtube.com)
2 points
by
Nrpf
11y ago
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0 comments
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Nrpf
11y ago
Its also for general programming.
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Nrpf
11y ago
What do you think about Julia?
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Nrpf
11y ago
Julia
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Nrpf
11y ago
Looking forward. I was about to embark with python on a new long term project, but I might delay that pending the new blog post. If possible do you have a guestimate on what sort of time window we are looking at for this blogpost? Days, we
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Nrpf
11y ago
Type unstable Julia is often slower than python.
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Nrpf
11y ago
Actually no. Naive Julia is often slower than python. Vectorized Array expressions are on par with numpy and slower than numba. "type unstable", IO and text processing code is also slower.
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Nrpf
11y ago
Very glad to hear that. Anywhere roadmap/ central place where I can contribute and follow progress?
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Nrpf
11y ago
Thanks. The link seemed still to be single inheritance focus (sorry, I don't know the right terminology I come from a OO background.) but I could be wrong. Though I did get the sense that its just a interim step towards multi inher
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Nrpf
11y ago
User defined types/classes are currently being worked on in an open PR. Excellent counterpoint for the time being, though. Aside- Do you know if multiple inheritance/traits will happen at some point? I need this for modeling, even
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Nrpf
11y ago
no its not. Rcpp is cpp syntax and semantics. Look at the Numba example..its pure python with one decorator.
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Nrpf
11y ago
Julia also requires subsets of the language. Try writing rolled array expressions (in a loop or otherwise) in Julia and in Numba and see which one is faster. Also try IO or text processing in Julia. Python is known to be faster right now.
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Nrpf
11y ago
Right now, numba is a better compiler than Julia has. You can write array expressions and loops in numba and it will do fusion/deforestation to eliminate temporaries giving you faster vectorized in loop code than Julia currently does.
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Continuum Analytics gets a $10M working capital credit line from SV Bank
(continuum.io)
1 points
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Nrpf
11y ago
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Nrpf
11y ago
The dev team is pretty responsive and prioritize adding features based on bug reports like this. Can you open an issue? https://github.com/numba/numba
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Nrpf
11y ago
Or you can use Numba to write gil free imperative code as well.
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Nrpf
11y ago
You mean IRLS or SGD or something like that?
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Nrpf
11y ago
Any tidbits about whats in store for the stats ecosystem? Tidyr/Dplyr style workflow? Flexible and Generalized stats MLE/ Bayesian modeling using distributions? Streaming and out of core support? What will the timeline be like? I
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Dynd: Next generation multidimensional array library for pydata python
(speakerdeck.com)
1 points
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Nrpf
11y ago
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0 comments
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Nrpf
11y ago
Or you can use numba and with pure python syntax and get really fast.
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Nrpf
11y ago
Actually I'm waiting for 3 based....
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Nrpf
11y ago
"many of the cons in the language will be solved" Can you elaborate on this? Re type system, how does it compare to python in use?
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Nrpf
11y ago
Thanks for your honesty re the web stuff. I agree multi dispatch is awesome, and python has some implementations of it as well. http://matthewrocklin.com/blog/work/2014/02/25/Multiple-Disp...
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Nrpf
11y ago
Can't you call out to python with pycall for that?
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Nrpf
11y ago
Is it possible to have both? Quiet your mind and be in the moment for physical stuff but call on its rumination powers to think when needed?
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Nrpf
11y ago
Yes escher is amazing thanks :) "more natural for general purpose modeling of data than, say, Python's classes" Can you elaborate? In most cases single dispatch does just fine. Then class = type except much slower
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Nrpf
11y ago
Is this going to get us better dataframes and nullable integration?
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Nrpf
11y ago
Makes sense. But regardless, the core language is better than go in almost every way (as far as I know)... and it has python like syntax. I wonder if thats enough.
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Nrpf
11y ago
What python solutions are scatterbrained? Have you tried Numba?
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Nrpf
11y ago
What do you think about Julia?
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