Backend (and sometimes frontend) software engineer working on sports data at Elias Sports Bureau.
Experience with: Python, Django, Typescript/JS, infrastructure, databases
Find me:
I haven’t had a chance to look yet, but I’m using a pretty similar stack at, although with React instead of Nuxt/Vue. I definitely love using Docker, at least as a dev platform, because of the way it evens the field across OS’s and makes it easy to onboard new contributors. Will definitely take a closer look when I get more time.
Buuut … I do mod the !django@programming.dev community, which you might be interested in checking out. There’s also the !docker@programming.dev, which is also worth checking out.
Thanks, I appreciate the reply and openness to doing things besides just video.
Do you have a written version?
I really dislike having to watch an entire video to catch the one bit of useful information. I wish I had the time to watch entire videos, but honestly, I don’t. On top of that, my brain has often wandered off well before I get to the interesting bit.
🤦♂️
ETA: Thanks for that, not sure what I was thinking there.
This is my favorite/most horrifying part:
The control flow is so labyrinthine that some of the code is actually indented by 23 tabs. Forget the 80-column rule – these lines don’t even start until column 92! Even if we discard the inline data tables, then the longest line in the codebase is still a whopping 387 characters long (you’ll have to scroll to the right to read it)
Ugh, my apologies folks. Clearly still figuring out how to do this Lemmy/Mastodon federation thing.
I raise you
@lambda _: _()
def result() -> int:
global a; global b; a, b = b, a
hat tip to @sisyphean@programming.dev via Cursed Python
Crap, now I need to know about competitive Jenga …