PCRE2.jl
DaemonMode.jl
| PCRE2.jl | DaemonMode.jl | |
|---|---|---|
| 1 | 22 | |
| 3 | 269 | |
| - | - | |
| 10.0 | 4.7 | |
| almost 2 years ago | 5 months ago | |
| Julia | Julia | |
| GNU General Public License v3.0 or later | MIT License |
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PCRE2.jl
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Is Julia suitable today as a scripting language?
See also: https://github.com/JuliaString/PCRE2.jl
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 time…
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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.
What are some alternatives?
StaticTools.jl - Enabling StaticCompiler.jl-based compilation of (some) Julia code to standalone native binaries by avoiding GC allocations and llvmcall-ing all the things!
julia - The Julia Programming Language
Makie.jl - Interactive data visualizations and plotting in Julia
HTTP.jl - HTTP for Julia
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
julia-numpy-fortran-test - Comparing Julia vs Numpy vs Fortran for performance and code simplicity
DataFramesMeta.jl - Metaprogramming tools for DataFrames
db-benchmark - reproducible benchmark of database-like ops
JuliaInterpreter.jl - Interpreter for Julia code
RCall.jl - Call R from Julia
PackageCompiler.jl - Compile your Julia Package
jlrs - Julia bindings for Rust