houzi

What would it take you to ship to Norway?

Do you think a non-python user would piece it together if the shebang line reveals what tool to use?

Does breaking out of the container give you root?

TUI's have one thing going for them: Copy paste anything! IntelliJ doesn't let me copy any text it shows me.

Also, TUI's have their place. I haven't looked much at GUI alternatives, but k9s is really great.

Would also assume that interactive apps are simpler to implement if it's a TUI.

Love how well you articulate these notions. They are truly valid for most of us. It also means you're doing it right. The point then is to stay with the practice until you can stop fighting the notion of boredom and instead be "friends" with it. Just be fine with the boredom. Learn to relax in it. Hope you'll try it again.

While I like Proxmox and have used it in a startup, I wouldn't recommend it for enterprise simply due to how flaky the Terraform integration was the last time I checked. Probably a year or two ago. Regardless, the Terraform integration was done in the typical open source fashion of a single developer, where I'd question the amount of resources put into getting the software past 80% completion. The company behind Proxmox does not seem to prioritize the enterprise market segment.

We ended up using the REST API for automated provision management and there are certainly warts. It's a far cry from being a turn-key solution, which I'd argue is preferred by a large enterprise.

It's great for click-ops if that's your use case, but that also wouldn't qualify as an enterprise use case.

It's quite annoying to not be able to use common tools for DNS queries like `dig`, when using `systemd-resolved` for DNS. I think you might have to sometimes flush the caching feature of `systemd-resolved` as well.

It's fine, I guess. But it did take a while to learn the new ways.

I think this is the main complaint from users with decades of experience. Their scripts and old knowledge stops working.

This! Especially with pandas.

I did have a look at numpy and on my machine the tests did not bloat it as much as you made me believe. The `core/tests/` modules are 3MB and the `__pycache__` doubled it to 6MB. What do you refer to as "test case artifacts"? The modules, pycache, or both?

Also, wrt you statement on pandas; is it the debug symbols that account for the bloat, or the libs themselves?

You're consuming the content in a browser, when it's supposed to be consumed by an RSS reader.

You're consuming the content in a browser, when it's supposed to be consumed by an RSS reader.

Wrt to 1), how often do you reckon a beginner is faced with:

> By default, `args` is a set of derivation names denoting derivations in the active Nix expression. These are realised, and the resulting output paths are installed.

?? - I think the author really hits the nail on the head with this point.

From what I've heard from experienced carpenters and wood millers, growing conditions are a huge factor, as you want slow growing trees that have compact tree-rings. Also if you can get a wood piece with the core wood running through the entire length, you'll have a stronger work piece.

Yes. I'm having a hard time finding a good selling point for rasterio.

> I think for the ease of installation alone rasterio is a blessing.

How does rasterio simplify installation, when you still have to deal with gdal's C extension dependencies?