Tootfinder

➡️ Beautiful Soup - Python Screen-Scraping
#bookmarks

Anything great morning.
So now #Typer, the NIH #Python CLI library, decided to start bundling #Click. Why? Of course there's a lot of marketing bullshit behind it. Which ofc means they just don't want to be bothered about following the API, and take the easy way out.
Honestly, there is not a single week when I learn to hate Python even more. Slop-driven development.
EDIT: and ofc they immediately broke compatibility with vanilla click.
#Gentoo

Polars is a lightning fast DataFrame library/in-memory query engine with parallel execution and cache efficiency. And now you can use is with the tidyverse syntax: #rstats

More Efficient Tidyverse Code, Using Polars in the Background
Polars is a cross-language tool for manipulating very large data. However, one drawback is that the R implementation has a syntax that will look odd to many R users who are not used to Python syntax. The objective of tidypolars is to improve the ease-of-use of Polars in R by providing tidyverse syntax to polars.

It's 2026 and :python: #Python's standard library *still* does not have a flatten function? 🤨
(Yes, more-itertools, that's not the point)

JAX-SCM v1.0: a modern atmospheric single-column model for boundary layer research
Maximilian Pierzyna
https://arxiv.org/abs/2605.24544 https://arxiv.org/pdf/2605.24544 https://arxiv.org/html/2605.24544
arXiv:2605.24544v1 Announce Type: new
Abstract: We present JAX-SCM v1.0, an open-source atmospheric single-column model for boundary layer research, implemented in Python using the JAX computing library. The model solves for horizontal wind, potential temperature, and specific humidity, combined with prognostic turbulent kinetic energy and turbulent statistics parameterized by the Mellor-Yamada-Nakanishi-Niino level-2.5 (MYNN-2.5) turbulence closure. We verify the implementation against three well-established benchmark cases covering neutral (turbulent Ekman layer), stable (GABLS1), and convective (Wangara Day 33) conditions. Close agreement with reference solutions is demonstrated across all regimes. By building on JAX, the model benefits from just-in-time compilation and native GPU support. While JAX-SCM is not yet fully differentiable, basing it on JAX also lays the foundation for future integration with machine learning components. The model is designed for simplicity and modularity, lowering the barrier to entry for users and developers alike.
toXiv_bot_toot

Are you really expected to run five type-checkers now?
#python

Had to hand-edit a python library source to get offlineimap working. Backwards compatibility has no priority for python developers, useless behaviour, useless programming language.

Good news everyone! 🎉
The new version 3.0 of graph-tool is just out with major improvements! See below.
https://graph-tool.skewed.de
graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualiza…

A user at a client contacted me over what transpired to be them trying to install a python library on a machine (that didn’t have python installed) to run an AI tool at the direction of ChatGPT.
After *I* get it installed:
User: “Ok, how does it work?”
Me: 🤷🏻‍♀️ (╯°□°）╯︵ ┻━┻ “never seen it before”

it's too bad the major browsers don't support bookmarks or bookmark folders, thank goodness ChatGPT exists

#TIL that the Python Pillow library uses the PING command as a #Windows equivalent of sleep.
#cmd

Kafi Streams, built on (Py)DBSP, treats streaming like batch. Strongly consistent from day one. An open source Python library for the 80% of use cases that do not need extreme scale. Ralph Matthias Debusmann will be unveiling it at #bbuzz26.
Learn more: https://2026.berlinbuzzwords.de/session/kafi-streams-complex-stream-processing-made-simple/

Agent libOS: A Library-OS-Inspired Runtime for Long-Running, Capability-Controlled LLM Agents
Yingqi Zhang
https://arxiv.org/abs/2606.03895 https://arxiv.org/pdf/2606.03895 https://arxiv.org/html/2606.03895
arXiv:2606.03895v1 Announce Type: new
Abstract: Large language model (LLM) agents are evolving from request-response assistants into long-running software actors: they maintain state across model calls, fork subtasks, wait for external events, request human authority, generate tools, and perform side effects that must be resumed and audited. This paper presents Agent libOS, a library-OS-inspired runtime substrate for LLM agents. Agent libOS runs above a conventional host operating system; it does not implement hardware drivers, kernel-mode isolation, or a POSIX-compatible operating system. Instead, it treats an agent as an AgentProcess: a schedulable execution subject with process identity, parent-child lineage, lifecycle state, a tool table derived from an AgentImage, typed Object Memory, explicit capabilities, human queues, checkpoints, events, and audit records. Its central design rule is tools are libc-like wrappers; runtime primitives are the authority boundary. Filesystem access, object access, sleeps, human approval, JIT tool registration, and external side effects are checked at primitive boundaries under explicit capabilities and policy.
We describe the design, threat model, Python prototype, and safety-oriented evaluation. The current prototype implements async scheduling, namespace-local Object Memory, runtime-integrated human approval, one-shot permission grants, per-process working directories, shell and image-registration primitives, Deno/TypeScript JIT tools over a libOS syscall broker, filesystem/object bridge tools, an injectable Resource Provider Substrate, deterministic demos, real-model smoke scripts, and 123 regression tests at the time of writing. Rather than improving planner accuracy, Agent libOS demonstrates a runtime substrate in which long-running LLM agents can be scheduled, authorized, resumed, and audited without treating tool dispatch as the trust boundary.
toXiv_bot_toot

Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Walking on Spheres and Talking to Neighbors: Variance Reduction for Laplace's Equation
Michael Czekanski, Benjamin Faber, Margaret Fairborn, Adelle Wright, David Bindel
https://arxiv.org/abs/2404.17692 https://mastoxiv.page/@arXiv_physicscompph_bot/112358997081867258
- From Experiments to Expertise: Scientific Knowledge Consolidation for AI-Driven Computational Phy...
Haonan Huang
https://arxiv.org/abs/2603.13191 https://mastoxiv.page/@arXiv_physicscompph_bot/116237798566267809
- Grounded autonomous scrutiny at scale: emergent critique from reproduction of published computati...
Haonan Huang
https://arxiv.org/abs/2604.12198 https://mastoxiv.page/@arXiv_physicscompph_bot/116407633668438262
- libwignernj: a reusable C/C /Fortran/Python library for exact Wigner symbols and related coeffic...
Susi Lehtola
https://arxiv.org/abs/2605.06634 https://mastoxiv.page/@arXiv_physicscompph_bot/116537877078468610
- An Overview of Relativistic Particle Pushers and their Extension to Arbitrary Order Accuracy
Holger Schmitz
https://arxiv.org/abs/2603.06509 https://mastoxiv.page/@arXiv_physicsplasmph_bot/116198419420211577
- paces: Parallelized Application of Co-Evolving Subspaces, a method for computing quantum dynamics...
R. Kevin Kessing
https://arxiv.org/abs/2603.07341 https://mastoxiv.page/@arXiv_quantph_bot/116204568573959976
- Topology of Plasma Wakefields Driven by Two Color Laguerre Gaussian Laser Pulses
Saumya Singh, Dinkar Mishra, Shivani Aggarwal, Bhupesh Kumar, Pallavi Jha
https://arxiv.org/abs/2605.18336 https://mastoxiv.page/@arXiv_physicsplasmph_bot/116600306625433164
- Resolved Anderson localization of light in dense three-dimensional dielectric disorder
Yevgen Grynko, Jens F\"orstner
https://arxiv.org/abs/2605.25098 https://mastoxiv.page/@arXiv_physicsoptics_bot/116639935317087700
- A Reproducible Benchmark and Evidence-Retrieval Software Framework for Silicon Detector R&D Liter...
Tianqi Gao, Ruobing Jiang, Dawei Fu, Qiang Li, Matthew Kenzie
https://arxiv.org/abs/2606.24725
- Probing Light-Matter Interaction with Topological Data Analysis
Timothy Holt, Maxim Goryachev, Jeremy Bourhill
https://arxiv.org/abs/2606.30007 https://mastoxiv.page/@arXiv_physicsappph_bot/116837978382710147
toXiv_bot_toot

#Python #cryptography library (yes, the one that criticizes everything and everyone) is now vibecoded. Our future is truly bright!
Noticed because apparently "Claude" wrote a test that OOM-ed my system. But hey, #RustLang protects against memory errors, so it's fine to vibecode your security critical components.
#security #AI #LLM #NoAI #NoLLM