4 ms·

It became less relevant in the age of Julia language.

by xvilka 6y ago

deadmutex 6y ago
Do you have numbers to back this up?
- xvilka 6y ago
  See https://lh3.github.io/2020/05/17/fast-high-level-programming-languages https://lh3.github.io/2020/05/17/fast-high-level-programming... Also I should note that Julia performance greatly improved since. Next week there should be the 1.6.0 release, which will have even better numbers.
  - abdullahkhalids 6y ago
    > I don’t see Julia a good replacement of Python. Julia has a long startup time. When you use a large package like Bio.jl, Julia may take 30 seconds to compile the code, longer than the actual running time of your scripts. You may not feel it is fast in practice. Actually in my benchmark, Julia is not really as fast as other languages, either. Probably my Julia implementations here will get most slaps. I have seen quite a few you-are-holding-the-phone-wrong type of responses from Julia supporters. Also importantly, the Julia developers do not value backward compatibility. There may be a python2-to-3 like transition in several years if they still hold their views by then. I wouldn’t take the risk.
  - BlackFingolfin 6y ago
    I doubt that Julia 1.6.0 will be released next week. There were no rc (release candidates) not even an alpha or beta release.
    - xvilka 6y ago
      I probably messed up something, but I meant alpha, yes.
- ChrisRackauckas 6y ago
  It always depends on what applications you're looking for, but yes there's tons. https://benchmarks.sciml.ai/html/MultiLanguage/wrapper_packages.html https://benchmarks.sciml.ai/html/MultiLanguage/wrapper_packa... https://gist.github.com/ChrisRackauckas/cc6ac746e2dfd285c28e0584a2bfd320 https://gist.github.com/ChrisRackauckas/cc6ac746e2dfd285c28e... https://gist.github.com/ChrisRackauckas/4a4d526c15cc4170ce37da837bfc32c4 https://gist.github.com/ChrisRackauckas/4a4d526c15cc4170ce37... are the ones from the top of my head.
viraptor 6y ago
That's a weird claim without specifying the context. Julia doesn't run python code, so that's not it. It doesn't use python's programmers... etc. Is it "for new code which is maths/vector heavy and not relying on any existing environment, Julia is a valid competitor to pypy"? Or is there a better qualifier?
pjmlp 6y ago
On the contrary, Julia might be the kick on the Python world to finally start discussing about having something like PyPy as standard.
potatochup 6y ago
Eh, there are still huge legacy codebaes around that benefit from pypy, not everything is worth a rewrite
deleted 6y ago
[deleted]
bunje 6y ago
Currently my greatest concern is the inability of Julia to provide stability even after they've reached 1.0. On paper 1.0 is a LTS release and still supported, but how many packages actually support it anymore? There seems to be no guidelines either, the official stance is that "we move on and drop LTS when the package developers move on."
- ChrisRackauckas 6y ago
  >but how many packages actually support it anymore? 99%? You won't get the most recent versions because a lot of packages started requiring v1.3 when the new AD and multhreading mechanisms came out, but you can still boot up the LTS and run any standard analysis that existed back when 1.0 was around, which is something like 3000+ packages. Where is your FUD coming from?

It became less relevant in the age of Julia language.

by xvilka 6y ago

It became less relevant in the age of Julia language.

deadmutex 6y ago

Do you have numbers to back this up?

xvilka 6y ago
See https://lh3.github.io/2020/05/17/fast-high-level-programming-languages https://lh3.github.io/2020/05/17/fast-high-level-programming... Also I should note that Julia performance greatly improved since. Next week there should be the 1.6.0 release, which will have even better numbers.
- abdullahkhalids 6y ago
  > I don’t see Julia a good replacement of Python. Julia has a long startup time. When you use a large package like Bio.jl, Julia may take 30 seconds to compile the code, longer than the actual running time of your scripts. You may not feel it is fast in practice. Actually in my benchmark, Julia is not really as fast as other languages, either. Probably my Julia implementations here will get most slaps. I have seen quite a few you-are-holding-the-phone-wrong type of responses from Julia supporters. Also importantly, the Julia developers do not value backward compatibility. There may be a python2-to-3 like transition in several years if they still hold their views by then. I wouldn’t take the risk.
- BlackFingolfin 6y ago
  I doubt that Julia 1.6.0 will be released next week. There were no rc (release candidates) not even an alpha or beta release.
  - xvilka 6y ago
    I probably messed up something, but I meant alpha, yes.
ChrisRackauckas 6y ago
It always depends on what applications you're looking for, but yes there's tons. https://benchmarks.sciml.ai/html/MultiLanguage/wrapper_packages.html https://benchmarks.sciml.ai/html/MultiLanguage/wrapper_packa... https://gist.github.com/ChrisRackauckas/cc6ac746e2dfd285c28e0584a2bfd320 https://gist.github.com/ChrisRackauckas/cc6ac746e2dfd285c28e... https://gist.github.com/ChrisRackauckas/4a4d526c15cc4170ce37da837bfc32c4 https://gist.github.com/ChrisRackauckas/4a4d526c15cc4170ce37... are the ones from the top of my head.

viraptor 6y ago

That's a weird claim without specifying the context. Julia doesn't run python code, so that's not it. It doesn't use python's programmers... etc. Is it "for new code which is maths/vector heavy and not relying on any existing environment, Julia is a valid competitor to pypy"? Or is there a better qualifier?

pjmlp 6y ago

On the contrary, Julia might be the kick on the Python world to finally start discussing about having something like PyPy as standard.

potatochup 6y ago

Eh, there are still huge legacy codebaes around that benefit from pypy, not everything is worth a rewrite

deleted 6y ago

[deleted]

bunje 6y ago

Currently my greatest concern is the inability of Julia to provide stability even after they've reached 1.0. On paper 1.0 is a LTS release and still supported, but how many packages actually support it anymore? There seems to be no guidelines either, the official stance is that "we move on and drop LTS when the package developers move on."

ChrisRackauckas 6y ago
>but how many packages actually support it anymore? 99%? You won't get the most recent versions because a lot of packages started requiring v1.3 when the new AD and multhreading mechanisms came out, but you can still boot up the LTS and run any standard analysis that existed back when 1.0 was around, which is something like 3000+ packages. Where is your FUD coming from?