juliaup
jill.py
juliaup | jill.py | |
---|---|---|
10 | 2 | |
970 | 238 | |
2.6% | - | |
9.2 | 5.2 | |
4 days ago | 9 months ago | |
Rust | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
juliaup
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How to tell Quarto where the julia-1.8 kernel is?
There is juliaup, available in the Microsoft store, for managing julia versions: https://github.com/JuliaLang/juliaup
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Is it better to install Julia with its own executable or to install it in an Anaconda environment?
Better use the official binaries from https://julialang.org/downloads/. For Windows, best use the Julia app in the MS Store (https://github.com/JuliaLang/juliaup ).
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Neovim can't find executable path for program
Thanks - fwiw, I currently use juliaup, which basically does the same thing. Unfortunately, the problem isn't that Julia isn't on the path (it is), it's that Neovim's exepath can't find it, for some reason. :)
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Julia 1.8 released
But it’s considered prerelease for Mac and Linux according to its git repository. So presumably it won’t become the default until it’s not experimental any more.
- appropriate way to run two versions of Julia on linux
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Créer simplement un cluster k8s dans PhoenixNAP avec Rancher en quelques clics …
GitHub - JuliaLang/juliaup: Julia installer and version multiplexer GitHub - JuliaPluto/PlutoUI.jl GitHub - fonsp/Pluto.jl: 🎈 Simple reactive notebooks for Julia
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I don't want to abandon Rust for Julia
Use the right tool for the job! I would never write a system utility or OS or user application or compiler in Julia, for example. juliaup is a Julia utility being written in Rust for this exact reason!
- Small Neural networks in Julia 5x faster than PyTorch
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What's the standard procedure for package requests?
And yes, I know about jill.py and have considered using it as well. It seems fairly straightforwad to use. A similar project that I found interesting is juliaup. Still, I would definitely prefer just using zypper instead of relying on third party tools. That's why I figured I might as well ask on here.
- Get first n element from an array
jill.py
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What's the standard procedure for package requests?
Don't know if it helps you, but I'm keeping Julia up to date with https://github.com/johnnychen94/jill.py, works well on my laptop and my workstation in the office, no compilation required. It also lets you install and manage older versions if you have legacy code that may need them.
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What's the best/easiest way of starting with Julia?
I had a lot of issues with JuliaPro, I found just installing directly or via jill.py to be easier (https://github.com/johnnychen94/jill.py)
What are some alternatives?
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
NBodySimulator.jl - A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
psutil - Cross-platform lib for process and system monitoring in Python
vectorflow
aqtinstall - aqt: Another (unofficial) Qt CLI Installer on multi-platforms
jill - Command line installer of the Julia Language.
persepolis - Persepolis is a download manager written in Python.
n - Node version management
mirrors - The AlmaLinux project mirrors configuration and tools.
LeNetTorch - PyTorch implementation of LeNet for fitting MNIST for benchmarking.
sherlock - Hunt down social media accounts by username across social networks