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Doing a refactor in some Python code and struck by how awful this would be without the static typechecker. Like, changing the return type of one function and the typechecker is catching calls to it I didn't know existed, from a project I barely know exists, from a team member I've met once in person.

This kind of change would be horrifying without static typechecking. With it, it's Thursday.

#Python

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04.12.2025 23:04
ycombinator (@ycombinator@rss-mstdn.studiofreesia.com)

Django 6
https://docs.djangoproject.com/en/6.0/releases/6.0/
#ycombinator #Python #Django #framework #open_source

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04.12.2025 23:03
papajohn (@papajohn@sfba.social)

Content warning:Advent of Code 2024 Day 4 Spoilers

I had a late start this morning and didn't have a chance to do #AdventOfCode Day 4 until just now.

I leaned on a couple of utility functions (xy_to_coord, which converts x and y to a complex number for ease of use as a key; and get_neighbors_all, returns a generate that gives the direction and coordinate of the eight squares surrounding its argument) that I'd made in previous years.

First I parsed the input into a set of roll positions, then transformed it into a dictionary of roll locations => neighbor counts.

For Part 1, I just checked the locations that had fewer than 4 neighbors. For Part 2, I put that set of locations into a queue, reduced the counts of each one's neighbors, adding any that fell below 4 neighbors into the queue, and ran until the queue was exhausted.

Both were pretty straightforward to implement. I definitely have the feeling that this was a warm up grid problem, though! 😂

https://github.com/biesnecker/aoc-anyhow/blob/main/202504.py

#adventofcode2025 #python

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04.12.2025 22:48
ednl (@ednl@mastodon.social)

RE: https://mastodon.social/@ednl/115661825430815480

Turns out it wasn't the summing of the whole grid on every loop that took so long. Well, also that. But it pales in comparison to the import of numpy and scipy. Those two imports take TWENTY times as long as the whole rest of the program:

import libs : 309.9 ms
parse input : 1.2 ms
part 1 : 0.3 ms
part 2 : 14.3 ms
part 1+2 : 14.6 ms
no import : 15.8 ms
all : 325.7 ms

Updated source code: https://github.com/ednl/adventofcode/blob/main/2025/04.py

#AdventOfCode #Python

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04.12.2025 22:39
post (@post@lemmy.ml)

Django 6 Released

https://lemmy.ml/post/39874038

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