konsti

cat in your python packages • he/him

[konsti @konstinx]

@ryantm @charliermarsh (We currently don't support multiple package outputs, but I'm curious about your use case)

[konsti @konstinx]

@ryantm @charliermarsh What's the difference between the packages that you're looking for?

[konsti @konstinx]

@KevinKaichuang uv venvs should work just like with a regular remote venv, though pycharm doesn't run uv commands on the remove (yet). anything specific that's not working with it?

[konsti @konstinx]

you can solve sudokus in python packaging

not python code, python packaging

[project]
name = "sudoku"
version = "1.0.0"
dependencies = [
"sudoku_3_1 == 2",
"sudoku_5_7 == 6",
"sudoku_0_7 == 5"
...
]

https://t.co/RwHwElVPPQ

[Astral @astral_sh]

Announcing the Astral OSS Fund.

We're giving > $3,000 per Astral team member per year to open source projects, maintainers, and foundations, inspired by @getsentry's OSS Pledge.

https://t.co/96W5T8syzk

[konsti @konstinx]

@HenrySchreiner3 @peteronyisi1 @HEPfeickert @prefix_dev What do you think about supporting overrides for requirements at the application and maybe even library level as a remedy?

[Charlie Marsh @charliermarsh]

But our goal is to evolve uv into a "Cargo for Python": a comprehensive project and package manager that's fast, reliable, and easy to use, wrapped in an opinionated workflow.

Think: a single static binary that bootstraps everything you need to be productive with Python.

[Astral @astral_sh]

Announcing uv: an extremely fast Python package installer and resolver, written in Rust.

uv is designed as a drop-in replacement for pip, pip-tools, and virtualenv.

https://t.co/9cRaTBfkEU

[konsti @konstinx]

@pganssle cool! sent you an email

[konsti @konstinx]

https://t.co/pBbJE1qkxg

[konsti @konstinx]

i'll also be at #PyConUS if you're interested in chatting about maturin, pyo3, evolving packaging standards, python tooling in rust or just python packaging in general

[konsti @konstinx]

https://t.co/LTd2DhExc2

[Charlie Marsh @charliermarsh]

I've started a company, Astral, to continue building high-performance developer tools for the Python ecosystem.

We're going to keep building Ruff, and build more Ruff-like things.

We've raised a seed round led by @Accel.

I'm extremely excited :)

https://t.co/ELCNKkzaGN

[konsti @konstinx]

@domenkozar there's also some (very different looking) data in https://t.co/7iBj45aXeT and https://t.co/OZjSyl7CRC, but they didn't explicitly ask for other package managers

[konsti @konstinx]

i've reimplemented PEP 440 (the python version standard) and wrote about the depths of PEP 440 and how to evolve it for the future https://t.co/lbRQYdQu6S

[konsti @konstinx]

@domenkozar i copied it from the pdf linked from https://t.co/1E0XCW1GuQ : https://t.co/eebWkHZLHh

[konsti @konstinx]

@samuelcolvin they now also showed up in a new repo of mine just to complain about maturin 🫠

[konsti @konstinx]

@SDuninHorkawicz For the cosine search, have you seen https://t.co/CVLoppGkCo? That should solve the maximal size of the target database, without much optimization we got e.g. 313k pLM embeddings searched all-against-all in 77s, and their benchmarks go up to 2 billion embeddings

[konsti @konstinx]

@SDuninHorkawicz I benchmarked length-dependence rather extensively in https://t.co/UfsxGtl808 . Funnily enough for single domains, performance generally increases with length. (knnProtT5: cosine similarity on flattened embeddings of Pfam ful-length proteins, 2nd picture is knn on CATH <20% PIDE)