13 ms·

Julia JITs to native LLVM code and is really fast for a lot of use cases. For things where the JIT warming up takes less time than the full job, it can be bette

Julia JITs to native LLVM code and is really fast for a lot of use cases. For things where the JIT warming up takes less time than the full job, it can be better than Python. It was also developed with numerical computation in mind, so it was designed for that performance wise and has so many brilliant people working on the language and library. You can use macros for awesome DSLs and run on the GPU and in parallel a lot easier than Python in some cases. It has a first class package manager, great REPL and doesn't need an installer.

patrick5415 7y ago
I didn’t find the REPL that great, because it takes forever to jit anything. My laptop is not that old and creating an array with 5 elements takes over a second. If I type a syntax error, it takes tens of seconds to produce an error. This yields a very frustrating experience and doesn’t lend itself to an effective prototyping environment. For now at least I’ll be sticking with matlab.
- improbable22 7y ago
  There are indeed frustrating lags due to JIT, but they have got better lately & are being worked on -- if I understand right this is now one of the priorities, after focusing on getting the breaking changes done before 1.0. Here's how long a vector of 5 random numbers takes, after a cold start, on 1.1: $ julia -e '@time rand(5)' 0.054343 seconds (121.03 k allocations: 6.219 MiB)
- eigenspace 7y ago
  That sounds really bizarre. What version of which OS are you using? I've heard that older versions of Windows (I think 7) have problems with the REPL that cause extreme latency. I don't think the latency you're experiencing is normal.
  - patrick5415 7y ago
    I was running Debian 9, with Julia from julialang.org (not the Debian repo). This was six months ago so maybe things have improved since then.
    - eigenspace 7y ago
      Hm, if you do git it another try and experience that again, please open an issue on Github so it can be fixed: https://github.com/JuliaLang/julia/issues/new https://github.com/JuliaLang/julia/issues/new
- laughfactory 7y ago
  Yeah, this has been my experience as well. I really _want_ to like Julia. But so far the JIT experience has been exceptionally miserable--and unfortunately for me, my typical approach to development is quite interactive. I'm on 1.1.1.

patrick5415 7y ago

I didn’t find the REPL that great, because it takes forever to jit anything. My laptop is not that old and creating an array with 5 elements takes over a second. If I type a syntax error, it takes tens of seconds to produce an error. This yields a very frustrating experience and doesn’t lend itself to an effective prototyping environment. For now at least I’ll be sticking with matlab.

improbable22 7y ago
There are indeed frustrating lags due to JIT, but they have got better lately & are being worked on -- if I understand right this is now one of the priorities, after focusing on getting the breaking changes done before 1.0. Here's how long a vector of 5 random numbers takes, after a cold start, on 1.1: $ julia -e '@time rand(5)' 0.054343 seconds (121.03 k allocations: 6.219 MiB)
eigenspace 7y ago
That sounds really bizarre. What version of which OS are you using? I've heard that older versions of Windows (I think 7) have problems with the REPL that cause extreme latency. I don't think the latency you're experiencing is normal.
- patrick5415 7y ago
  I was running Debian 9, with Julia from julialang.org (not the Debian repo). This was six months ago so maybe things have improved since then.
  - eigenspace 7y ago
    Hm, if you do git it another try and experience that again, please open an issue on Github so it can be fixed: https://github.com/JuliaLang/julia/issues/new https://github.com/JuliaLang/julia/issues/new
laughfactory 7y ago
Yeah, this has been my experience as well. I really _want_ to like Julia. But so far the JIT experience has been exceptionally miserable--and unfortunately for me, my typical approach to development is quite interactive. I'm on 1.1.1.