cloudpickle VS nix

I believe you just pass objects instead, like you would in OOP, and take the hit of pickling and unpickling them every time.

If you really want to pass lambdas, you can use a third party library to pickle them

https://github.com/cloudpipe/cloudpickle

Yes, this is not great.

That was my understanding as well but then I found this package -- cloudpickle which seems to serialize both data and functionality?

It used in production for several months now. We use it to train data science models. The main goal was to make multiprocessing code easier. It actually works great with multiprocessing, especially if you use a library able to serialize lambda functions such as https://github.com/cloudpipe/cloudpickle . I have yet to write a tutorial on how to use multiprocessing and cloudpickle to distribute work to all the worker processes. Thanks for letting me know about pfun. I've never heard of it. Having a look at its documentation, our goals seem to be very close. The features I wanted above all where:

> https://github.com/NixOS/nix/pull/9911#issuecomment-19252073...

As we covered in my last post, NixOS is a amazing Linux distribution for creating stable and declared environments. Now while this is amazing for a desktop setup, it is also perfect for a home-server or home-lab.

(Nix itself is slowly chugging along with Windows via MinGW - https://discourse.nixos.org/t/nix-on-windows/1113/108 and https://github.com/NixOS/nix/issues/1320 , for example.)

Nix is a cross-platform package manager. It uses the nix programming language. Nix and NixOs are often used in the same context, but while the first is a package manager, the latter is a linux distribution based on nix.

Today I want to talk to you about Nixos. What is it? Nixos is a declarative and reproducible OS, partly taking the words used on their own page. What does that mean?

Software developers often want to customize:

1. their home environments: for packages (some reach for brew on MacOS) and configurations (dotfiles, and some reach for stow).

2. their development shells: for build dependencies (compilers, SDKs, libraries), tools (LSP, linters, formatters, debuggers), and services (runtime, database). Some reach for devcontainers here.

3. or even their operating systems: for development, for CI, for deployment, or for personal use.

Nix provision all of the above in the same language, with Nixpkgs, NixOS, home-manager, and devShells such as https://devenv.sh/. What's more, Nix is (https://nixos.org/):

- reproducible: what works on your dev machine also works in CI in prod,

- declarative: you version control and review your configurations and infrastructure as code, at a reasonable level of abstraction,

- reliable: all changes are atomic with easy roll back.

Hopping from one distro to another with a different package manager might require some time to adapt. Using a package manager that can be installed on most distro is one way to help you get to work faster. Flatpak is one of them; other alternative are Snap, Nix or Homebrew. Flatpak is a good starter, and if you have a bunch of free time, I suggest trying Nix.

- it reduces bloat, because you can generate an environment or OS image with only the software needed to run a specific program or service

My guess is that a big efficiency gain would come from the second point, because you don't waste CPU on code that you don't use.

Does this make sense? Has anyone explored this?

[0]: https://nixos.org

1) Setting up the development environment - I currently use devcontainers for most things, but may also dig into nix -> isolated, portable, repeatable development environment 2) Exploring Echo - understand routing, requests, response, etc. 3) Incorporate Templ - integration with Echo, template composition, etc. 4) Integrating TailwindCSS - config for use with Echo/Templ, development cycle, deployment, etc. 5) Add in HTMX - endpoints, template structure, concepts, etc. 6) hyperscript for interactivity - client side interactivity