Tootfinder

heise | Python-Grundlagen: Wie Sie for-Schleifen richtig einsetzen
for-Schleifen gehören zu den grundlegenden Konzepten in der Programmierung. Richtig eingesetzt sparen sie sehr viele Codezeilen.
h…

Okay, spent a little time with Python's Matplotlib to get this graph of miles biked so far this year...
At some point I should be able to pull the data from Run Gap's SQLite database to automate this more, and get more granular.
I still need to figure out how to space the bars and some other formatting stuff but it's a good start!
#python

Jakiś czas temu, zainspirowany #Fedorą, wyodrębniłem paczki .whl z Pythonowego ensurepip w #Gentoo (właśnie sprawdziłem — "jakiś czas" to 3 lata). Umożliwiło to nam aktualizowanie ich razem z paczkami pip i setuptools, dzięki czemu nowe środowiska wirtualne otrzymują najnowszą dostępną wersję, a …

#Python Friday #282: Working With Temporary Files
https://pythonfriday.dev/2025/06/282-working-with-temporary-files/

#282: Working With Temporary Files - Python Friday
None

VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation
Yuansheng Ni, Ping Nie, Kai Zou, Xiang Yue, Wenhu Chen
https://arxiv.org/abs/2506.03930

VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation
Large language models (LLMs) often struggle with visualization tasks like plotting diagrams, charts, where success depends on both code correctness and visual semantics. Existing instruction-tuning datasets lack execution-grounded supervision and offer limited support for iterative code correction, resulting in fragile and unreliable plot generation. We present VisCode-200K, a large-scale instruction tuning dataset for Python-based visualization and self-correction. It contains over 200K exampl…

IntLevPy: A Python library to classify and model intermittent and L\'evy processes
Shailendra Bhandari, Pedro Lencastre, Sergiy Denysov, Yurii Bystryk, Pedro G. Lind
https://arxiv.org/abs/2506.03729

IntLevPy: A Python library to classify and model intermittent and Lévy processes
IntLevPy provides a comprehensive description of the IntLevPy Package, a Python library designed for simulating and analyzing intermittent and Lévy processes. The package includes functionalities for process simulation, including full parameter estimation and fitting optimization for both families of processes, moment calculation, and classification methods. The classification methodology utilizes adjusted-$R^2$ and a noble performance measure Γ, enabling the distinction between intermittent …

So #Gentoo #Python eclasses are pretty modern, in the sense that they tend to follow the best practices and standards, and eventually deal with deprecations. Nevertheless, they have a long history and carry quite some historical burden, particularly regarding to naming.
The key point is that the eclasses were conceived as a replacement for the old eclasses: "distutils" and "python". Hence, much like we revision ebuilds, I've named the matching eclasses "distutils-r1" and "python-r1". For consistency, I've also used the "-r1" suffix for the remaining eclasses introduced at the time: "python-any-r1", "python-single-r1" and "python-utils-r1" — even though there were never "r0"s.
It didn't take long to realize my first mistake. I've made the multi-impl eclass effectively the "main" eclass, probably largely inspired by the previous Gentoo recommendations. However, in the end I've found out that for the most use cases (i.e. where "distutils-r1" is not involved), there is no real need for multi-impl, and it makes things much harder. So if I were naming them today, I would have named it "python-multi", to indicate the specific use case — and either avoid designating a default at all, or made "python-single" the default.
What aged even worse is the "distutils-r1" eclass. Admittedly, back when it was conceived, distutils was still largely a thing — and there were people (like me) who avoided unnecessary dependency on setuptools. Of course, nowadays it has been entirely devoured by setuptools, and with #PEP517 even "setuptools" wouldn't be a good name anymore. Nowadays, people are getting confused why they are supposed to use "distutils-r1" for, say, Hatchling.
Admittedly, this is something I could have done differently — PEP517 support was a major migration, and involved an explicit switch. Instead of adding DISTUTILS_USE_PEP517 (what a self-contradictory name) variable, I could have forked the eclass. Why didn't I do that? Because there used to be a lot of code shared between the two paths. Of course, over time they diverged more, and eventually I've dropped the legacy support — but the opportunity to rename was lost.
In fact, as a semi-related fact, I've recognized another design problem with the eclass earlier — I should have gone for two eclasses rather than one: a "python-phase" eclass with generic sub-phase support, and a "distutils" (or later "python-pep517") implementing default sub-phases for the common backends. And again, this is precisely how I could have solved the code reuse problem when I introduced PEP517 support.
But then, I didn't anticipate how the eclasses would end up looking like in the end — and I can't really predict what new challenges the Python ecosystem is going to bring us. And I think it's too late to rename or split stuff — too much busywork on everyone.

I wrote a little tool to show what "board.*" defines for a #CircuitPython build. I got tired for always trawling through ports/*/boards for it. It's called "cirpy-showpins" and its output looks like the below. I used #Perl originally but here's it in Python:

I wrote a little tool to show what "board.*" defines for a #CircuitPython build. I got tired for always trawling through ports/*/boards for it. It's called "cirpy-showpins" and its output looks like the below. I used #Perl originally but here's it in Python:

#Ukraine #Putin #MontyPython

Mein Vortrag für die Tübix wurde angenommen:
Wie uns LLMs beim Programmieren helfen
#LLM

"Professor Cain uses various programming languages to explain these concepts: he starts with C (roughly from the second lecture to the 8th), then Assembly (lectures 9 to 11), C (lectures 12 to 18), Scheme (lectures 19 to 23), and Python (from 24 to 26). The last lecture (27) dives into some other functional programming languages like ML, Miranda, and even Haskell, as well as some advanced type design concepts, to round up your general programming knowledge."

Jerry Cain
The late 2000s were an interesting time for online education. The wider availability of faster and more reliable bandwidth led to an explosion of online video. This, in turn, led to the emergence of an ever-expanding number of providers of online learning services, and then to a wave of "Massive Open Online Courses" or MOOCs, many of which were offered by large universities and high schools all over the world. This month's Vidéothèque movie is a full playlist featuring one of the earliest (an…

This https://arxiv.org/abs/2505.22652 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

PyRigi -- a general-purpose Python package for the rigidity and flexibility of bar-and-joint frameworks
We present PyRigi, a novel Python package designed to study the rigidity properties of graphs and frameworks. Among many other capabilities, PyRigi can determine whether a graph admits only finitely many ways, up to isometries, of being drawn in the plane once the edge lengths are fixed, whether it has a unique embedding, or whether it satisfied such properties even after the removal of any of its edges. By implementing algorithms from the scientific literature, PyRigi enables the exploration o…

from my link log —
The first year of free-threaded Python.
https://labs.quansight.org/blog/free-threaded-one-year-recap
saved 2025-05-14

The first year of free-threaded Python
A recap of the first year of work on enabling support for the free-threaded build of CPython in community packages.

Most crossplatformy way to create the random fortune-motd file seems to be to use fuse to create the special file and just symlink it to /etc/motd. 66 lines of Python, and ta-daaa:

exoatlas: friendly Python code for exoplanet populations
Zach K. Berta-Thompson, Patcharapol Wachiraphan, Autumn Stephens, Mirielle Caradonna, Catriona Murray, Valerie Arriero, Jackson Avery, Girish M. Duvvuri, Sebastian Pineda
https://arxiv.org/abs/2507.02210

exoatlas: friendly Python code for exoplanet populations
Planets are complicated. Understanding how they work requires connecting individual objects to the context of broader populations. Exoplanets are easier to picture next to their closest Solar System archetypes, and planets in the Solar System are richer when seen alongside a growing community of known exoplanets in the Milky Way. The `exoatlas` toolkit provides a friendly Python interface for retrieving and working with populations of planets, aiming to simplify the process of placing worlds in…

Video tutorials for modern ideas and open source tools. #python

Code. Simply. Clearly. Calmly.
Short and simple video lessons that start from scratch. Tools and thoughts that might make your professional life more enjoyable.

I've been asked to run an AI text summariser over a bunch of survey responses. I'm skeptical anyway, so probably approaching the task with a bad attitude, but none of the open source AI text summarisers I've tried so far actually run at all, due to the usual Python bit-rot and lack of stable libraries.
Tried AI-News-Summariser, sumeval, ParaSum, SummerTime... currently trying Transformers, but it's taking an age to install.
Can anyone suggest one which at least ru…

This https://arxiv.org/abs/2502.00278 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

BatAnalysis -- A Comprehensive Python Pipeline for Swift BAT Time-Tagged Event Data Analysis
The Swift Burst Alert Telescope (BAT) is a coded aperture gamma-ray instrument with a large field of view that was designed to detect and localize transient events. When a transient is detected, either on-board or externally, the BAT saves time-tagged event (TTE) data which provides the highest quality information of the locations of the photons on the detector plane and their energies. This data can be used to produce spectra, lightcurves, and sky images of a transient event. While these data …

Precisely Detecting Python Type Errors via LLM-based Unit Test Generation
Chen Yang, Ziqi Wang, Yanjie Jiang, Lin Yang, Yuteng Zheng, Jianyi Zhou, Junjie Chen
https://arxiv.org/abs/2507.02318

Precisely Detecting Python Type Errors via LLM-based Unit Test Generation
Type errors in Python often lead to runtime failures, posing significant challenges to software reliability and developer productivity. Existing static analysis tools aim to detect such errors without execution but frequently suffer from high false positive rates. Recently, unit test generation techniques offer great promise in achieving high test coverage, but they often struggle to produce bug-revealing tests without tailored guidance. To address these limitations, we present RTED, a novel ty…

Released v0.20.0 of the ha-mqtt-discoverable python module.
This is a pure-python library for creating #MQTT entities that will be automatically detected by #HomeAssistant
Added a 'set_blob' method to the Image class to allow publication of images directly from code. HA will take base64 encoded images directly via MQTT
Details at https://github.com/unixorn/ha-mqtt-discoverable/releases/tag/v0.20.0
@…

hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation
Charles Hong, Brendan Roberts, Huijae An, Alex Um, Advay Ratan, Yakun Sophia Shao
https://arxiv.org/abs/2506.04544

hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation
Large language models (LLMs) are playing an increasingly large role in domains such as code generation, including hardware code generation, where Verilog is the key language. However, the amount of publicly available Verilog code pales in comparison to the amount of code available for software languages like Python. In this work, we present hdl2v ("HDL-to-Verilog"), a dataset which seeks to increase the amount of available human-written Verilog data by translating or compiling three other hardw…

One of the goals I've set for further development of #Python eclasses in #Gentoo was to avoid needless complexity. Unfortunately, the subject matter sometimes requires them. However, many of the functions added lately were already manually done in ebuilds for years.
We've started disabling plugin autoloading years ago. First we just did that for individual packages that caused issues. Then, for these where tests ended up being really slow. Finally, pretty much anywhere `python_test()` was declared. Doing it all manually was particularly cumbersome — all I needed for `EPYTEST_PLUGINS` is a good idea how to generalize it.
Similarly, `EPYTEST_XDIST` was added after we have been adding manually `epytest -p xdist -n "$(makeopts_jobs)" --dist=worksteal` — and while at it, I've added `EPYTEST_JOBS` to override the job count.
Perhaps `EPYTEST_TIMEOUT` wasn't that common. However, it was meant to help CI systems that could otherwise get stuck on hanging test.
Similarly, "standard library" version (like `3.9`) matching to `python_gen_cond_dep` was added after a long period of explicitly stating `python3_9 pypy3`. As an extra benefit, this also resolved the problem that at the time `pypy3` could mean different Python versions.

python_dependency: Python Dependency Network
Python's package dependency networks. Nodes in the network are Python's packages registered to PyPI and edges are dependencies among packages.
This network has 58743 nodes and 108399 edges.
Tags: Technological, Software, Unweighted
https://networks.sk…

Lazy internet: Does anyone know of a Python (or other if it’s easy enough to configure) filtering RSS proxy? Instead of pointing my feed reader to example.com/rss, I’d point it at my server which would get that feed, filtering out things I don’t want to see.

heise | Schneller zum Arzt: Doctolib-Chatbot für frühere Termine einrichten
Abspringende Patienten sorgen bei Doctolib regelmäßig für Terminlücken. Mit Python und Telegram können Sie einen Chatbot erstellen, der freie Termine meldet.

I'm happy to announce structlog 25.4.0 that adds support for exception groups but more importantly fixes an incompatibility with the upcoming Python 3.13.4
https://github.com/hynek/structlog/releases/tag/25.4.0

Release 25.4.0 · hynek/structlog
Highlights The main feature is support for exception groups we stole adapted from Rich, however the main reason for this release at this point in time are backwards-incompatible changes in the upco...

5. Another very minor thing: there's no way of rebuilding your existing Spoti-Tidal-Apple playlists to Navidrome (using your library's existing files) or transferring your iTunes listen counts out of the box. I *was* able to find a nice Python script thing for the playlists, but I had to transfer my Tidal playlists to Spotify first:

Pyrefly vs. ty: Comparing Python’s Two New Rust-Based Type Checkers
#types

AutoLyap: A Python package for computer-assisted Lyapunov analyses for first-order methods
Manu Upadhyaya, Adrien B. Taylor, Sebastian Banert, Pontus Giselsson
https://arxiv.org/abs/2506.24076

AutoLyap: A Python package for computer-assisted Lyapunov analyses for first-order methods
We introduce AutoLyap, a Python package designed to automate Lyapunov analyses for a wide class of first-order methods for solving structured optimization and inclusion problems. Lyapunov analyses are structured proof patterns, with historical roots in the study of dynamical systems, commonly used to establish convergence results for first-order methods. Building on previous works, the core idea behind AutoLyap is to recast the verification of the existence of a Lyapunov analysis as a semidefin…

from my link log —
Sneak peek: A new ASN.1 API for Python.
https://blog.trailofbits.com/2025/04/18/sneak-peek-a-new-asn.1-api-for-python/
saved 2025-04-18

Sneak peek: A new ASN.1 API for Python
We’re working on integrating an ASN.1 API into PyCA Cryptography, built on top of the same Rust ASN.1 implementation already used by Cryptography’s X.509 APIs.

Ark: An Open-source Python-based Framework for Robot Learning
Magnus Dierking, Christopher E. Mower, Sarthak Das, Huang Helong, Jiacheng Qiu, Cody Reading, Wei Chen, Huidong Liang, Huang Guowei, Jan Peters, Quan Xingyue, Jun Wang, Haitham Bou-Ammar
https://arxiv.org/abs/2506.21628

Ark: An Open-source Python-based Framework for Robot Learning
Robotics has made remarkable hardware strides-from DARPA's Urban and Robotics Challenges to the first humanoid-robot kickboxing tournament-yet commercial autonomy still lags behind progress in machine learning. A major bottleneck is software: current robot stacks demand steep learning curves, low-level C/C++ expertise, fragmented tooling, and intricate hardware integration, in stark contrast to the Python-centric, well-documented ecosystems that propelled modern AI. We introduce ARK, an open-so…

It's a small thing, the syntactic sugar of using `/` to concatenate paths and strings is reason enough to use pathlib. And then you find out about all the built in methods...
https://mastodon.social/@treyhunner/114778741547764668

Trey Hunner 🐍 (@treyhunner@mastodon.social)
Attached: 1 image Working with file paths in Python? (splitting, joining, navigating, etc.) Check out #Python's pathlib module. It's great for splitting/joining paths, finding files by filename patterns, renaming files, and more. https://pym.dev/pathlib-module

Mate, this parrot wouldn't VOOM if you put four million volts through it!
-- Monty Python

https://www.hackster.io/news/pyxl-promises-orders-of-magnitude-faster-embedded-python-using-a-python-native-custom-processor-c0e01ddc30eb

Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges
Lajos Muzsai, David Imolai, Andr\'as Luk\'acs
https://arxiv.org/abs/2506.02048

Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges
Large Language Models (LLMs) still struggle with the structured reasoning and tool-assisted computation needed for problem solving in cybersecurity applications. In this work, we introduce "random-crypto", a cryptographic Capture-the-Flag (CTF) challenge generator framework that we use to fine-tune a tool-augmented Llama-3.1-8B with Guided Reinforcement Prompt Optimisation (GRPO), allowing the agent to iteratively write and execute Python inside an isolated REPL. GRPO yields a +53% absolute jum…

#Python Friday #277: Access Local #LLMs Through LM Studio
https://pythonfriday.dev/2025/05/277-a

#277: Access Local LLMs Through LM Studio - Python Friday
None

eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems
Ruilin Xu, Zongxuan Xie, Pengfei Chen
https://arxiv.org/abs/2506.02007

eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems
We present eACGM, a full-stack AI/ML system monitoring framework based on eBPF. eACGM collects real-time performance data from key hardware components, including the GPU and network communication layer, as well as from key software stacks such as CUDA, Python, and PyTorch, all without requiring any code instrumentation or modifications. Additionally, it leverages libnvml to gather process-level GPU resource usage information. By applying a Gaussian Mixture Model (GMM) to the collected multidime…

heise | Reddit-Crawler für Aktien in Python bauen: So geht es Schritt für Schritt
Reddits r/wallstreetbets ist ein riesiges Forum für Börsenwetten. Welche Aktien die Mitglieder diskutieren, verrät ein Python-Crawler, den wir hier erstellen.

The Python-based data-exfiltration utility used by the Cl0p ransomware group (commonly distributed as part of the toolset during the 2023 – 2024 MoveIt campaigns) constructs operating-system commands by directly concatenating attacker-supplied strings without input sanitization. An authenticated endpoint on the Cl0p operators’ staging/collection host passes file-or directory-names received from compromised machines straight into a shell-escape sequence. No official patch or cooperation from …

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/5]:
- optimizn: a Python Library for Developing Customized Optimization Algorithms
Akshay Sathiya, Rohit Pandey

Kennt jemand gute Video-Kurse /#eLearning / #mmoc für Datenanalyse mit #Python? Am Besten für Programmieranfänger*innen und auf Deutsch.
Googlen kann ich selbst, Erfahrungen wären super.
:boost_ok:

"Ich spuke dir ins Auge und blende dich!"
#ukraine #russia #MontyPython

This https://arxiv.org/abs/2501.07973 has been replaced.
initial toot: https://mastoxiv.page/@arX…

An Open Source Validation System for Continuous Arterial Blood Pressure Measuring Sensors
Measuring the blood pressure waveform is becoming a more frequently studied area. The development of sensor technologies opens many new ways to be able to measure high-quality signals. The development of such an aim-specific sensor can be time-consuming, expensive, and difficult to test or validate with known and consistent waveforms. In this paper, we present an open source blood pressure waveform simulator with an open source Python validation package to reduce development costs for early-sta…

Bugs in the Shadows: Static Detection of Faulty Python Refactorings
Jonhnanthan Oliveira, Rohit Gheyi, M\'arcio Ribeiro, Alessandro Garcia
https://arxiv.org/abs/2507.01103

Bugs in the Shadows: Static Detection of Faulty Python Refactorings
Python is a widely adopted programming language, valued for its simplicity and flexibility. However, its dynamic type system poses significant challenges for automated refactoring - an essential practice in software evolution aimed at improving internal code structure without changing external behavior. Understanding how type errors are introduced during refactoring is crucial, as such errors can compromise software reliability and reduce developer productivity. In this work, we propose a stati…

TIL: #UV
#Python

GitHub - astral-sh/uv: An extremely fast Python package and project manager, written in Rust.
An extremely fast Python package and project manager, written in Rust. - astral-sh/uv

In case anyone here has connections with the Python team: can you please tell them to update their docs on XML security? The way it is is quite misleading, and it's been annoying me for a while. I raised this a while ago in their issue tracker, but it got no reaction whatsoever. https://github.com/python/cpython/issu…

Reconsider XML Security warnings / obsolete vulnerabilities · Issue #127502 · python/cpython
Documentation The documentation for the xml.etree.ElementTree API contains the following stark warning: Warning: The xml.etree.ElementTree module is not secure against maliciously constructed data....

Not upgrading all the SQS code using boto.sqs.Message to boto3 has finally bitten me on the ass as boto just doesn't work on Python 3.12 which is what I'm moving to.
And I'm moving it because 3.7 has become the 2.7 of Python 3. Whilst I originally targeted 3.9 that is slipping away too.
There is a lot of SQS going on, not just pipelining but logging. The logging is kind of Schroedinger logging as I don't bother with it unless I need to.

Geoff: The Generic Optimization Framework & Frontend for Particle Accelerator Controls
Penelope Madysa, Sabrina Appel, Verena Kain, Michael Schenk
https://arxiv.org/abs/2506.03796

Geoff: The Generic Optimization Framework & Frontend for Particle Accelerator Controls
Geoff is a collection of Python packages that form a framework for automation of particle accelerator controls. With particle accelerator laboratories around the world researching machine learning techniques to improve accelerator performance and uptime, a multitude of approaches and algorithms have emerged. The purpose of Geoff is to harmonize these approaches and to minimize friction when comparing or migrating between them. It provides standardized interfaces for optimization problems, utili…

sad :3 https://github.com/qilingframework/qiling/issues/253
someone's gotta retry ^^

Rewrite in Rust · Issue #253 · qilingframework/qiling
Python is a poor choice for anything remotely complex, especially that affects the execution times like emulation. Projects like Angr and Miasm met a bottleneck of Python, it's slowness, GIL, memor...

This https://arxiv.org/abs/2404.07249 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

PolyBin3D: A Suite of Optimal and Efficient Power Spectrum and Bispectrum Estimators for Large-Scale Structure
By measuring, modeling and interpreting cosmological datasets, one can place strong constraints on models of the Universe. Central to this effort are summary statistics such as power spectra and bispectra, which condense the high-dimensional data into low-dimensional representations. In this work, we introduce a modern set of estimators for computing such statistics from three-dimensional clustering data, and provide a flexible Python/Cython implementation; PolyBin3D. Working in a maximum-likel…

I still need to get around to automating this stuff a bit more, but for now I just type a few numbers each month for my biking stats...
#bikeTooter #python

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network
Pralay Kumar Das, Nayana Majumdar, Supratik Mukhopadhyay
https://arxiv.org/abs/2506.02506

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network
A multi-class convolutional neural network (CNN) model has been developed using Keras deep learning library in Python for image-based classification of $^{12}$C Hoyle state decay branches from tracking information, recorded by Saha Active Target Time Projection Chamber, SAT-TPC (currently under development). The nuclear events, produced by the 30 MeV $α$-particle beam in the SAT-TPC, filled with Ar + CO$_2$ (90:10) gas mixture at atmospheric pressure, have been considered for training and vali…

Resolvent4py: a parallel Python package for analysis, model reduction and control of large-scale linear systems
Alberto Padovan, Vishal Anantharaman, Clarence W. Rowley, Blaine Vollmer, Tim Colonius, Daniel J. Bodony
https://arxiv.org/abs/2506.20539

Resolvent4py: a parallel Python package for analysis, model reduction and control of large-scale linear systems
In this paper, we present resolvent4py, a parallel Python package for the analysis, model reduction and control of large-scale linear systems with millions or billions of degrees of freedom. This package provides the user with a friendly Python-like experience (akin to that of well-established libraries such as numpy and scipy), while enabling MPI-based parallelism through mpi4py, petsc4py and slepc4py. In turn, this allows for the development of streamlined and efficient Python code that can b…

Finite-size security analysis for quantum protocols: A Python framework using the Entropy Accumulation Theorem with graphical interface
Piotr Mironowicz, Mohamed Bourennane
https://arxiv.org/abs/2506.18888

Finite-size security analysis for quantum protocols: A Python framework using the Entropy Accumulation Theorem with graphical interface
We present a comprehensive software framework for the finite-size security analysis of quantum random number generation (QRNG) and quantum key distribution (QKD) protocols, based on the Entropy Accumulation Theorem (EAT). Our framework includes both a Python API and an intuitive graphical user interface (GUI), designed to support protocol designers and experimentalists in certifying randomness and key rates under realistic, finite-resource conditions. At its core, the framework automates the co…

SPAC: A Python Package for Spatial Single-Cell Analysis of Multiplex Imaging
Fang Liu, Rui He, Andrei Bombin, Ahmad B. Abdallah, Omar Eldaghar, Tommy R. Sheeley, Sam E. Ying, George Zaki
https://arxiv.org/abs/2506.01560

SPAC: A Python Package for Spatial Single-Cell Analysis of Multiplex Imaging
Multiplexed immunofluorescence microscopy captures detailed measurements of spatially resolved, multiple biomarkers simultaneously, revealing tissue composition and cellular interactions in situ among single cells. The growing scale and dimensional complexity of these datasets demand reproducible, comprehensive and user-friendly computational tools. To address this need, we developed SPAC (SPAtial single-Cell analysis), a Python-based package and a corresponding shiny application within an inte…

Apache Fury (incubating)
#java #python

https://blog.csdn.net/wuShiJingZuo/article/details/139601073

🚚 Move your #Azure resources across subscriptions or resource groups—without downtime!
Use CLI, PowerShell, Python, or REST API to stay flexible and in control. ⚙️📦 Just update those resource IDs! #CloudManagement
Learn more:

gcor: A Python Implementation of Categorical Gini Correlation and Its Inference
Sameera Hewage
https://arxiv.org/abs/2506.19230 https://

gcor: A Python Implementation of Categorical Gini Correlation and Its Inference
Categorical Gini Correlation (CGC), introduced by Dang et al. (2020), is a novel dependence measure designed to quantify the association between a numerical variable and a categorical variable. It has appealing properties compared to existing dependence measures, such as zero correlation mutually implying independence between the variables. It has also shown superior performance over existing methods when applied to feature screening for classification. This article presents a Python implementa…

Combining Type Inference and Automated Unit Test Generation for Python
Lukas Krodinger, Stephan Lukasczyk, Gordon Fraser
https://arxiv.org/abs/2507.01477 h…

Combining Type Inference and Automated Unit Test Generation for Python
Automated unit test generation is an established research field that has so far focused on statically-typed programming languages. The lack of type information in dynamically-typed programming languages, such as Python, inhibits test generators, which heavily rely on information about parameter and return types of functions to select suitable arguments when constructing test cases. Since automated test generators inherently rely on frequent execution of candidate tests, we make use of these fre…

A while ago, I've followed the example given by #Fedora and unbundled ensurepip wheels from #Python in #Gentoo (just checked — "a while ago" was 3 years ago). This had the important advantage that it enabled us to update these wheels along with the actual pip and setuptools packages, meaning new virtual environments would get fresh versions rather than whatever CPython happened to bundle at the time of release.
I had considered using our system packages to prepare these wheels, but since we were already unbundling dependencies back then, that couldn't work. So I just went with fetching upstream wheels from PyPI. Why not build them from source instead? Well, besides feeling unnecessary (it's not like the PyPI wheels are actually binary packages), we probably didn't have the right kind of eclass support for that at the time.
Inspired by @…, today I've tried preparing new revisions of ensurepip packages that actually do build everything from source. So what changed, and why should building from source matter now? Firstly, as part of the wheel reuse patches, we do have a reasonably clean architecture to grab the wheels created as part of the PEP517 build. Secondly, since we're unbundling dependencies from pip and setuptools, we're effectively testing different packages than these installed as ensurepip wheels — and so it would be meaningful to test both variants. Thirdly, building from source is going to make patching easier, and at the very least enable user patching.
While at it, I've refreshed the test suite runs in all three regular packages (pip, setuptools and wheel — we need an "ensurepip" wheel for the last because of test suites). And of course, I hit some test failures in testing the versions with bundled dependencies, and I've discovered a random bug in #PyPy.
https://github.com/gentoo/gentoo/pull/42882 (yes, we haven't moved yet)
https://github.com/pypy/pypy/issues/5306

Jumping between node (my blog) and python (frontmatter changes) today was fun but I made an oops with #activepieces 😂 which then required more python (bulk deletes) which then required making edits to mastodon/config/initializers
/rack_attack.rb
Sorry to those I spammed on the #Fediverse

Eventual, which develops Daft, a Python-native open-source data processing engine, raised a $7.5M seed led by CRV and a $20M Series A led by Felicis (Rebecca Szkutak/TechCrunch)
https://techcrunch.com/2025/06/24/how-a-data-pro…

How a data processing problem at Lyft became the basis for Eventual | TechCrunch
Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

TIL that #Python's strptime can't handle unix timestamps, wtf... 😑
time.strptime("1750420325","%s")
ValueError: 's' is a bad directive
(Yes, I know there's datetime.fromtimestamp, but here I'd much prefer to keep everything with %Y %m %d et al. due to reasons)

Sorrel: A simple and flexible framework for multi-agent reinforcement learning
Rebekah A. Gelp\'i, Yibing Ju, Ethan C. Jackson, Yikai Tang, Shon Verch, Claas Voelcker, William A. Cunningham
https://arxiv.org/abs/2506.00228

Sorrel: A simple and flexible framework for multi-agent reinforcement learning
We introduce Sorrel (https://github.com/social-ai-uoft/sorrel), a simple Python interface for generating and testing new multi-agent reinforcement learning environments. This interface places a high degree of emphasis on simplicity and accessibility, and uses a more psychologically intuitive structure for the basic agent-environment loop, making it a useful tool for social scientists to investigate how learning and social interaction leads to the development and change of group dynamics. In thi…

Switched my most updated #Django project to #uv this morning. I was using vanilla pip and venv and building #Python from source before.
—That was it? —
Seemed crazy too easy. It all just w…

I've just tagged build-and-inspect-python-package 2.13.0 of my popular GitHub Action.
It now offers the package name as an output and uses it in the job summary which should be useful to people building multiple packages at once.
https://github.com/hynek/build-and-ins

Release v2.13.0 · hynek/build-and-inspect-python-package
Added New output: package_name is the name of the built package as stored in metadata. #162 The package name is now part of the action summary which is helpful when you build more than one pack...

AaŠaargh.
https://functional.cafe/@loke/114724782345547751

CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets
Alessandro Berti, Wil M. P. van der Aalst
https://arxiv.org/abs/2506.12238 https:…

CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets
Colored Petri Nets (CPNs) are an established formalism for modeling processes where tokens carry data. Although tools like CPN Tools and CPN IDE excel at CPN-based simulation, they are often separate from modern data science ecosystems. Meanwhile, Python has become the de facto language for process mining, machine learning, and data analytics. In this paper, we introduce CPN-Py, a Python library that faithfully preserves the core concepts of Colored Petri Nets -- including color sets, timed tok…

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- ECLYPSE: a Python Framework for Simulation and Emulation of the Cloud-Edge Continuum
Jacopo Massa, Valerio De Caro, Stefano Forti, Patrizio Dazzi, Davide Bacciu, Antonio Brogi

Numerical solution of the Lindblad master equation using the Runge-Kutta method implemented in Python
Leonardi Hern\'andez S\'anchez, Iv\'an Alejandro Bocanegra Garay, Ariel Flores Rosas, Ir\'an Ramos Prieto, Francisco Soto Eguibar, H\'ector Manuel Moya Cessa
https://arxiv.org/abs/2506.19238

Numerical solution of the Lindblad master equation using the Runge-Kutta method implemented in Python
The dynamics of open quantum systems is governed by the Lindblad master equation, which provides a consistent framework for incorporating environmental effects into the evolution of the system. Since exact solutions are rarely available, numerical methods become essential tools for analyzing such systems. This article presents a step-by-step implementation of the fourth-order Runge-Kutta method in Python to solve the Lindblad equation for a single quantized field mode subject to decay. A cohere…

'Beneath the surface of external dominance lies an “invisible” European strength: a long-standing presence in open-source software (OSS) and open standards that form the backbone of critical digital infrastructures. From Linux and Python to core internet protocols, Europe has made significant
contributions to open source initiatives.'
3/n

Asked 5 different local AIs (not internet based nor connecting to the internet):
What is the average airspeed of a fully laden swallow?
And they attributed it to 3 novels: Alan Sillitoe's "The Lonely Voice"(which does not exist), Douglas Adams's "A Hitchhiker's Guide to the Galaxy," George Orwell's "Animal Farm" and also the correct answer, the movie Monty Python and the Holy Grail.
So as long as we're good with AI being 75%…

Released 0.19.2 of ha-mqtt-discoverable.
This is a pure-python library for creating #MQTT entities that will be automatically detected by #HomeAssistant
https://github.com/unixorn/ha-mqtt-discoverable/releases
Fixes Select behavior (Thanks mhentschke!)
@…

Verification of Hamiltonian Path Conjecture (BHR Conjecture) for Integers up to p=31
Ranjan N Naik
https://arxiv.org/abs/2507.00059 https://

Verification of Hamiltonian Path Conjecture (BHR Conjecture) for Integers up to p=31
The BHR (Buratti-Horak-Rosa) Conjecture (2006) proposes that for every p and a multiset L of (p-1) positive integers modulo p, there exists a Hamiltonian path in the Complete Graph Kp with consecutive edge lengths given by the elements of L. In this article, we outline an approach to the conjecture based on frequency partitions and local/global adjustment operations and backtracking. We describe the mathematical strategy, experimental evidence, and implementation in a Python Program to explore …

Learning with pyCub: A New Simulation and Exercise Framework for Humanoid Robotics
Lukas Rustler, Matej Hoffmann
https://arxiv.org/abs/2506.01756 https://

Learning with pyCub: A New Simulation and Exercise Framework for Humanoid Robotics
We present pyCub, an open-source physics-based simulation of the humanoid robot iCub, along with exercises to teach students the basics of humanoid robotics. Compared to existing iCub similators (iCub SIM, iCub Gazebo), which require C++ code and YARP as middleware, pyCub works without YARP and with Python code. The complete robot with all articulations has been simulated, with two cameras in the eyes and the unique sensitive skin of the iCub comprising 4000 receptors on its body surface. The e…

Paczka Pythona, której nie idzie zainstalować na Pythonie 3.14, bo autor koniecznie musiał zaimplementować przetwarzanie AST na ponad 200 linii w `setup.py`? Dlaczego nie.
#Gentoo #Python #setuptools

Replaced article(s) found for math.OC. https://arxiv.org/list/math.OC/new
[2/2]:
- optimizn: a Python Library for Developing Customized Optimization Algorithms
Akshay Sathiya, Rohit Pandey

New reason not to use #PythonPoetry just dropped: they reinvented "reproducible builds", poorly. The problem is, they missed the purpose of reproducible builds entirely and they use it for source distributions too, and when you don't use SOURCE_DATE_EPOCH, they force all files to epoch (as in timestamp 0) instead of leaving them alone.
Like, all source distributions created by Poetry and uploaded to #PyPI now have 1970 timestamps that, simply speaking, break stuff. The most absurd thing is that ZIP can't handle that timestamp, so they override it and use another date for wheels 🤦.
#Gentoo #PEP517

#Python Friday #283: Play Audio Files in Python
https://pythonfriday.dev/2025/06/283-play-audio-files-in-python/

#283: Play Audio Files in Python - Python Friday
None

Having a bizarre Python performance issue:
same program running on three systems. On the system which has the best Python benchmark scores, it performs the worst. On the oldest system with the worst Python benchmark scores, it performs the best. The worst and best systems are both Ryzen 7 zen4 and zen3 running openSUSE TW; the middle child is a 2020 MacBook Air M1.
wtf?

PyRigi -- a general-purpose Python package for the rigidity and flexibility of bar-and-joint frameworks
Matteo Gallet, Georg Grasegger, Matthias Himmelmann, Jan Legersk\'y
https://arxiv.org/abs/2505.22652

PyRigi -- a general-purpose Python package for the rigidity and flexibility of bar-and-joint frameworks
We present PyRigi, a novel Python package designed to study the rigidity properties of graphs and frameworks. Among many other capabilities, PyRigi can determine whether a graph admits only finitely many ways, up to isometries, of being drawn in the plane once the edge lengths are fixed, whether it has a unique embedding, or whether it satisfied such properties even after the removal of any of its edges. By implementing algorithms from the scientific literature, PyRigi enables the exploration o…

from my link log —
A Rust API inspired by Python, powered by Serde.
https://ohadravid.github.io/posts/2025-05-serde-reflect/
saved 2025-05-15

A Rust API Inspired by Python, Powered by Serde
Years ago, I worked on reimplementing some Python code in Rust and needed to adapt Python’s dynamic reflection capabilities (aka __getattr__) to the strict and …

On the way to the PyConDE in Darmstadt. I look forward to hopefully see you soon.
@… #Python

sweet setup.py you've got there for your pure-python project. i, too, am a big fan of the 1990s.

#Python Friday #279: Sentiment Analysis in Python - #ai
https://pythonfriday.dev/2025/05/279-s

#279: Sentiment Analysis in Python - Python Friday
None

When you spend an hour backporting #CPython #security fixes to all versions of #Python #Gentoo, because there was no planned security release, and a few hours later you spend time again bumping to the unexpected security releases.
And then you are surprised why you didn't mask Python 3.8 yet, and repeat the same mistake.
Oh, and ofc update your CPython and PyPy (fixed PyPy only in Gentoo).

TasVisAn and InsPy -- Python Packages for Triple-Axis Spectrometer Data Visualization, Analysis, Instrument Resolution Calculation, and Convolution
Guochu Deng
https://arxiv.org/abs/2506.18216

TasVisAn and InsPy -- Python Packages for Triple-Axis Spectrometer Data Visualization, Analysis, Instrument Resolution Calculation, and Convolution
Experimental data collected from a triple-axis spectrometer (TAS) are typically analysed by considering the instrument resolution, as the resolution of a TAS instrument is often complex and significantly influences the measured results. Two Python packages, TasVisAn and InsPy, have been developed to visualize and analyse data from TAS instruments - particularly from the cold-neutron TAS Sika and the thermal-neutron TAS Taipan at the Australian Centre for Neutron Scattering. TasVisAn offers a ra…

An Algorithm for Automated Extraction of Resonance Parameters from the Stabilization Method
Johanna Langner, Anjan Sadhukhan, Jayanta K. Saha, Henryk A. Witek
https://arxiv.org/abs/2507.01382

An Algorithm for Automated Extraction of Resonance Parameters from the Stabilization Method
The application of the stabilization method [A.~U.\ Hazi and H.~S.\ Taylor, Phys.~Rev.~A {\bf 1}, 1109 (1970)]) to extract accurate energy and lifetimes of resonance states is challenging: The process requires labor-intensive numerical manipulation of a large number of eigenvalues of a parameter-dependent Hamiltonian matrix, followed by a fitting procedure. In this article, we present \dosmax, an efficient algorithm implemented as an open-access \texttt{Python} code, which offers full automatio…

Poster: libdebug, Build Your Own Debugger for a Better (Hello) World
Gabriele Digregorio, Roberto Alessandro Bertolini, Francesco Panebianco, Mario Polino
https://arxiv.org/abs/2506.02667

Poster: libdebug, Build Your Own Debugger for a Better (Hello) World
Automated debugging, long pursued in a variety of fields from software engineering to cybersecurity, requires a framework that offers the building blocks for a programmable debugging workflow. However, existing debuggers are primarily tailored for human interaction, and those designed for programmatic debugging focus on kernel space, resulting in limited functionality in userland. To fill this gap, we introduce libdebug, a Python library for programmatic debugging of userland binary executables…

Dzisiejsi programiści: "zgoda? po co nam zgoda, po prostu nadpiszemy ci wszystkie menadżery paczek Pythona — naszą paczką. Co może pójść nie tak?!"
A dowcip w tym taki, że ja nawet tego tak naprawdę nie zainstalowałem — tylko robiłem przypadkowe poprawki, i uruchomiłem testy w venvie.
https://github…

#Python Friday #286: Advanced Text-to-Speech With Coqui TTS - #ai #nlp

#286: Advanced Text-to-Speech With Coqui TTS - Python Friday
None

Osobiście, polecałbym trzymać się z daleka od "#Python Code Quality Authority". Projekty tej organizacji zostały właściwie przejęte przez wyjątkowo toksyczną osobę. #Ruff to dobra alternatywa, z bardzo przyjaznymi autorami.

CODEMENV: Benchmarking Large Language Models on Code Migration
Keyuan Cheng, Xudong Shen, Yihao Yang, Tengyue Wang, Yang Cao, Muhammad Asif Ali, Hanbin Wang, Lijie Hu, Di Wang
https://arxiv.org/abs/2506.00894

CODEMENV: Benchmarking Large Language Models on Code Migration
Large language models (LLMs) have shown remarkable capabilities across various software engineering tasks; however, their effectiveness in code migration, adapting code to run in different environments, remains insufficiently studied. In this work, we introduce CODEMENV: Code Migration Across Environment, a new benchmark specifically designed to assess LLMs' abilities in code migration scenarios. CODEMENV consists of 922 examples spanning 19 Python and Java packages, and covers three core tasks…

Modern programmers: "oh, let's hijack all #Python package managers in your bashrc without asking for consent, what could possibly go wrong."
And the best joke is, I didn't even really install the package — I was just making a random bugfix and running its test suite in a virtual environment.
#Gentoo #security

#Python Friday #281: Language Detection in Python - #ai #nlp

#281: Language Detection in Python - Python Friday
None

Biblioteki eclass związane z Pythonem w #Gentoo są całkiem aktualne. Stosują się do aktualnych zaleceń i standardów, i usuwają na bieżąco rzeczy przestarzałe. Niemniej, mają za sobą długą historię, i najlepiej chyba to widać po nazewnictwie.
Biblioteki te powstały w celu zastąpienia wcześniejszych "distutils" i "python". Dlatego też nazwałem je odpowiednio "distutils-r1&…

Quality Assessment of Python Tests Generated by Large Language Models
Victor Alves, Carla Bezerra, Ivan Machado, Larissa Rocha, T\'assio Virg\'inio, Publio Silva
https://arxiv.org/abs/2506.14297

Quality Assessment of Python Tests Generated by Large Language Models
The manual generation of test scripts is a time-intensive, costly, and error-prone process, indicating the value of automated solutions. Large Language Models (LLMs) have shown great promise in this domain, leveraging their extensive knowledge to produce test code more efficiently. This study investigates the quality of Python test code generated by three LLMs: GPT-4o, Amazon Q, and LLama 3.3. We evaluate the structural reliability of test suites generated under two distinct prompt contexts: Te…