DaemonMode.jl
StaticTools.jl
DaemonMode.jl | StaticTools.jl | |
---|---|---|
22 | 6 | |
269 | 161 | |
- | - | |
4.7 | 6.4 | |
5 months ago | 6 months ago | |
Julia | Julia | |
MIT License | MIT License |
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DaemonMode.jl
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Potential of the Julia programming language for high energy physics computing
Thats for an entry point, you can search `Base.@main` to see a little summary of it. Later it will be able to be callable with `juliax` and `juliac` i.e. `~juliax test.jl` in shell.
DynamicalSystems looks like a heavy project. I don't think you can do much more on your own. There have been recent features in 1.10 that lets you just use the portion you need (just a weak dependency), and there is precompiletools.jl but these are on your side.
You can also look into https://github.com/dmolina/DaemonMode.jl for running a Julia process in the background and do your stuff in the shell without startup time until the standalone binaries are there.
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Julia 1.9.0 lives up to its promise
> If I were to use e.g. Rust with polars, load time would be virtually none.
Because you're compiling...
And if you need to do the same in Julia, you should also pre-compile or some other method like https://github.com/dmolina/DaemonMode.jl (their demo shows loading a database, with subsequent loads after the first one taking roughly ~0.2% of the first)
- Administrative Scripting with Julia
- GNU Octave 8.1
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Ask HN: Why is Julia so underrated?
Well, not nicely certainly, but:
https://github.com/dmolina/DaemonMode.jl
> portable
Neither is python - it just relies on universal availability. Over timeā¦
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Is Julia suitable today as a scripting language?
You can get around a lot of these problems with DaemonMode.jl though.
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Julia performance, startup.jl, and sysimages
You might want DaemonMode.jl
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Can I execute code in Julia REPL if I'm connected to a remote server?
https://github.com/dmolina/DaemonMode.jl can possibly help in the future. Leaving it here so that people know this is planned.
- Ask HN: Why hasn't the Deep Learning community embraced Julia yet?
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Compile for faster execution?
If you strongly prefer to run scripts though, then you can use the package https://github.com/dmolina/DaemonMode.jl in order to re-use a Julia session between multiple scripts, saving you recompilation time.
StaticTools.jl
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Is Julia suitable today as a scripting language?
It's not beta. I mean PackageCompiler.jl (used in production, by e.g. PumasAI company, a huge success) which makes though non-small binaries. Other tools for tiny binaries (and limited subset of Julia), are yes "experimental" but work: https://github.com/brenhinkeller/StaticTools.jl
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My Journey from R to Julia
We already have some forward prototypes of being able to run Julia ahead-of-time compiled native code from the command line.
https://github.com/brenhinkeller/StaticTools.jl
I think what we'll end up with is a language that can be used in both a fully static mode and in a dynamic mode along with some possible mixing. We may yet get the benefits of a statically compiled language as the tooling continues to develop. I do not see anything inherent in the language that would prevent that from happening.
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Size of a "hello world" application
https://github.com/brenhinkeller/StaticTools.jl is meant to facilitate this.
- Statictools.jl: Compilation of (some) Julia code to standalone native binaries
- We Use Julia, 10 Years Later
What are some alternatives?
julia - The Julia Programming Language
ProtoStructs.jl - Easy prototyping of structs
Makie.jl - Interactive data visualizations and plotting in Julia
www.julialang.org - Julia Project website
HTTP.jl - HTTP for Julia
GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
julia-numpy-fortran-test - Comparing Julia vs Numpy vs Fortran for performance and code simplicity
DataFramesMeta.jl - Metaprogramming tools for DataFrames
LoopVectorization.jl - Macro(s) for vectorizing loops.