tanlermin

9 ms·

1. 31.▲
   by tanlermin 10y ago

   Thanks for sharing your thoughts. I want to keep my general code and scientific code in the same language. So python it is.
2. 32.▲
   by tanlermin 10y ago

   Got it. I'm wondering what this performance cost will be and if significant, can all that brainpower at MIT etc really not find a way to mitigate it? This is a practical question for me because I'm considering Julia for a project
3. 33.▲
   by tanlermin 10y ago

   Thanks...though the whole "GIL being a feature" is sort of a joke.
4. 34.▲
   by tanlermin 10y ago

   I think this is slated to be fixed soon. Any reason why it can't be done? https://github.com/JuliaLang/julia/issues/265 Look at the commits at the bottom.
5. 35.▲
   by tanlermin 10y ago

   Check out dask for distributed and out of core parallel programming : http://www.slideshare.net/continuumio Its free with a permissive license. It is also capable of native HDFS integration, Yarn etc and can do more complex
6. 36.▲
   by tanlermin 10y ago

   Check out dask: http://www.slideshare.net/continuumio Its free with a permissive license and actively growing. It is also capable of native HDFS integration, Yarn etc and can do more complex and granular parallel patterns
7. 37.▲
   by tanlermin 10y ago

   Yes! Check out dask: http://www.slideshare.net/continuumio Its free with a permissive license. It is also capable of native HDFS integration, Yarn etc and can do more complex and granular parallel patterns than just map re
8. 38.▲
   by tanlermin 10y ago

   Ok. But I would do it in Numba.
9. 39.▲
   by tanlermin 10y ago

   Agreed.
10. 40.▲
    by tanlermin 10y ago

    I'm not sure you can make a linear projection. This could be early exponential growth. Or the constant growth may hit a tipping point as a critical mass of tools and infrastructure is developed.
11. 41.▲
    by tanlermin 10y ago

    Gotcha!
12. 42.▲
    by tanlermin 10y ago

    It means that I thought Julia wanted to avoid inching too much towards tracing JIT optimization. Well, luckily dask isn't meant for MPI style parallelism. I was wondering how it compared so something like computeframework. Good to hear
13. 43.▲
    by tanlermin 10y ago

    Try numpy record arrays
14. 44.▲
    by tanlermin 10y ago

    What other channels?
15. 45.▲
    by tanlermin 10y ago

    I don't see why all that can't be reflected in dynd type system and array metadata. It's just early and foundations are still being laid. Revelation julia union etc performance...are these improvents a given, hypothetocal or
16. 46.▲
    by tanlermin 10y ago

    Granted special Numba class syntax, and nowhere near as elegant or integrated as Julia. Dask distributed interfaces directly with HDFS...no need for serialization. Dynd is specifically designed to deal with arrays of custom types...critici
17. 47.▲
    by tanlermin 10y ago

    Yea... I don't think so: https://github.com/JuliaLang/julia/issues/9430 http://juliacomputing.com/blog/2016/02/09/static-julia.html
18. 48.▲
    by tanlermin 10y ago

    I think it will all come down to web assembly. Why? Python has blaze, numba, dynd and dask going for it. These all ameliorate (and exceed Julia in some respects) many of the disadvantages of python (including fast user defined types). The
19. 49.▲
    by tanlermin 11y ago

    Does this improve performance by widening the bounds of type stability?
20. 50.▲
    by tanlermin 11y ago

    Can someone who downvoted me explain the flaw in my argument?
21. 51.▲
    by tanlermin 11y ago

    http://www.transcrypt.org/ Does multiple inheritance
22. 52.▲
    by tanlermin 11y ago

    Too late. Python is screwed. Its still slow and not portable. Julia is a dynamic language that can compile to fast binary code. Once it can be run in the browser with web assembly, faster and nicer syntax than javascript, why would anyone u
23. 53.▲
    by tanlermin 11y ago

    Is this supposed to be able to work for really large apps at some point? Some commenter lamented how it didn't work with django.
24. 54.▲
    by tanlermin 11y ago

    Did you really expect that to work?!
25. 55.▲
    by tanlermin 11y ago

    What do you use Julia for?
26. 56.▲
    by tanlermin 11y ago

    Thanks for the information.
27. 57.▲
    Ask HN: Will there be native web assembly Mobile APIs?

    1 points by tanlermin 11y ago|2 comments
28. 58.▲
    by tanlermin 11y ago

    No you don't. It now does python to JS compilation. And that's if you want client side callbacks.
29. 59.▲
    by tanlermin 11y ago

    Blaze has already spent alot of time on this usecase and seems quite promising for a whole host of other reasons. Perhaps it would be best to combine forces? Also see this: https://github.com/blaze/blaze/pull/
30. 60.▲
    by tanlermin 11y ago

    Blaze for python does this