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Julia 1.10

docs.julialang.org

31–40 of 104 posts

Re: Julia 1.10

#31

are my main concerns resolved: • Hello World 200 MB ? • discoverability of functions: object.fun => fun(object) in REPL / IDE? object. => List of applicable functions?

How about a 16K Hello World?

  julia> using StaticTools, StaticCompiler
  
  julia> hello_world() = printf(c"Hello World\n")
  hello_world (generic function with 1 method)
  
  julia> compile_executable(hello_world, (), "./")
  "~/hello_world"
  
  shell> ./hello_world
  Hello World
  
  shell> du -h hello_world
  16K hello_world
See https://github.com/brenhinkeller/StaticTools.jl for further details and limitations.

For discovering methods you can do

  julia> ?("hello", 1, 2.0)[TAB]
  broadcast(f, x::Number...) @ Base.Broadcast broadcast.jl:844
  readuntil(filename::AbstractString, args...; kw...) @ Base io.jl:520
  ...
See the Tab Completion section of the REPL documentation, https://docs.julialang.org/en/v1/stdlib/REPL/#Tab-completion .

Re: Julia 1.10

#32

The load time improvements are amazing. Thanks to everyone that was involved. I've been using it locally for months now simply because of this feature and I had to update my "how to deal with compile-time" blog post ( https://sciml.ai/news/2022/09/21/compile_time/ ) to basically say system images really aren't needed anymore with these improvements. With that and the improvements to parallel compilation I tend to not…

That is the thing, many things only manage to succeed by having the patience to wait for the outcome from incremental improvements.

Looking forward to update my Julia installation.

Re: Julia 1.10

#33
post #13

Earlier quoted context omitted.

As much as it pains me to say it, I don't think Julia will. It looks to me like the practical problems with Julia, while addressable, are being addressed too slowly. There is simply too many rough edges and usability problems as it is now, and at the current pace it will take maybe 10 or 15 years to address them. On the other hand, the major use case for Julia is to have a fast, dynamic language. And it seems to me t…

What's wrong with JS/TS or Lua as a fast dynamic language?

One of my favorite things recently is using JS/TS with Julia, usually via a Pluto.jl notebook.

There are also some nice demonstrations showing Julia compiled to web assembly. https://tshort.github.io/WebAssemblyCompiler.jl/stable/examp...

Re: Julia 1.10

#35

Out of curiosity, how's the state of DL for Julia. Can I use PyTorch or JAX comfortably in Julia?

Flux is quite a nice lower level library:

https://github.com/FluxML/Flux.jl

On top of that there are many higher level libraries such as Transformers.jl

https://github.com/chengchingwen/Transformers.jl

Re: Julia 1.10

#37

Earlier quoted context omitted.

I'm sure there are other subdomains that make use of Julia, but in particular I think if your problem involves writing an evolution-like or agent-based-model-like simulation you may find the strengths of Julia particularly compelling

“You may find” is not the same thing as “has taken off in” which was the claim

https://juliahub.com/case-studies/

Re: Julia 1.10

#38

The load time improvements are amazing. Thanks to everyone that was involved. I've been using it locally for months now simply because of this feature and I had to update my "how to deal with compile-time" blog post ( https://sciml.ai/news/2022/09/21/compile_time/ ) to basically say system images really aren't needed anymore with these improvements. With that and the improvements to parallel compilation I tend to not…

Just wanted to say I appreciate all the Julia content and evangelism you put out. It's kept me excited for the language and is a big reason I still use it for most of my personal work.

Re: Julia 1.10

#40

Im not sure if Julia will ever take off. Right now there are huge investments in the AI space and Julia has no presence in those.

Julia need good a complete database connectivity libraries to do better they need to have full support for MS SQL and Oracle and other commercial dbs

All my data are in a database, Julia need to become more db oriented , that is it

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