aspiring Rustacean, JavaScript jockey, 3D printing addict, use Bluefin Linux, (Apple|Google)-captive, Meta-escapee, parent, husband with a husband, cisgender, he/him

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Joined 5 years ago
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Cake day: April 6th, 2021

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  • I switch back and forth between bazzite and bluefin quite often

    on these and other immutable distributions, /usr is read-only, and the recommended is to use installation methods that write to your HOME (or to /var which is where docker and flatpak --system save files)

    i really should muck about with container-based development flows

    my current preference is flatpak, then whatever per-language package tooling (e.g. cargo for tools written in Rust, npm with a custom HOME prefix for tools written in Node.js, uv for Python projects, etc) when there’s no flatpak, then homebrew, then rpm-ostree as a last resort

    for editing files in /etc my recommendation would be to set the EDITOR environment variable to point at whatever you like, installed however you like, and edit with sudoedit /etc/fstab, because then your editor is not running with root permissions

    you could also point EDITOR at a custom script that mounts the target file into a container running your desired editor




  • Why do you need gcc to compile a Python program?

    this is pretty common in interpreted languages/runtimes like Python, Node.js, Ruby, etc where a dependency is written in C or C++ or Rust or something else when the performance benefit is worth the cost of abandoning the primary language

    the amusing/horrifying part is that Node.js actually depends on a Python script for this, so any Node.js application with a C/C++/Rust dependency actually needs Python installed somewhere

    e.g. https://github.com/pyca/cryptography is a Python dependency that requires the Rust compiler/toolchain if pip / pipx / uv can’t find a pre-compiled version for your system

    To me sounds like either a neglected project or designed to run in a docker image maybe? When was it updated last?

    as far as i can tell, the project is alive and well, frequent and recent commits, and all the dependencies involved here are on their latest versions

    In such cases its probably the best to run the application in a virtual machine.

    and yeah, i know i can fix this with a VM or a Dockerfile and i’ll probably have to

    but my point is that Python is kinda’ hot garbage for sharing code that depends on other shared code

    it’s a terrific language by itself and sharing code that only depends on the standard library is perfectly fine, but as soon as we share code that depends on other third-party code we introduce inevitable suffering