Tootfinder

#Python 3.14.0
https://www.python.org/downloads/release/python-3140/

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…

I've released 2.14.0 of build-and-inspect-python package; your friendly GitHub Action that prevents embarrassing PyPI uploading mistakes.
Main reason for a rather rushed release is that some people seem to get Python 3.14 when asking GHA for `3.x`.
https://github.com/hynek/build-an…

Release v2.14.0 · hynek/build-and-inspect-python-package
Changed Update tools such that they work on Python 3.14 (which is now 3.x on GitHub Actions). #182 The action now ignores UV_PYTHON coming from the outside. #184

#Python Friday #300: Learning Python in the Age of #AI?
https://pythonfriday.dev/2025/10/300-l

#300: Learning Python in the Age of AI? - Python Friday
None

I made it onto the #Python Bytes podcast with a contribution on measuring the performance of prek: https://pythonbytes.fm/episodes/show/448/im-getting-the-bios-flavor

I'm Getting the BIOS Flavor
News and announcements from the Python community for the week of Sep 8th, 2025

What Are #Python Asterisk and Slash Special Parameters For?
https://realpython.com/python-asterisk-and-slash-special-parameters/

Por la pega estoy haciendo un curso de #Python orientado a «Ciencia de Datos» y si bien no estš tan bueno como esperaba, el material y lo tips que he conseguido es lo mas interesante. Esto es justamente lo que quiero aprender.

PySensors 2.0: A Python Package for Sparse Sensor Placement
Niharika Karnik, Yash Bhangale, Mohammad G. Abdo, Andrei A. Klishin, Joshua J. Cogliati, Bingni W. Brunton, J. Nathan Kutz, Steven L. Brunton, Krithika Manohar
https://arxiv.org/abs/2509.08017

PySensors 2.0: A Python Package for Sparse Sensor Placement
PySensors is a Python package for selecting and placing a sparse set of sensors for reconstruction and classification tasks. In this major update to \texttt{PySensors}, we introduce spatially constrained sensor placement capabilities, allowing users to enforce constraints such as maximum or exact sensor counts in specific regions, incorporate predetermined sensor locations, and maintain minimum distances between sensors. We extend functionality to support custom basis inputs, enabling integrati…

A Generic and Efficient Python Runtime Verification System and its Large-scale Evaluation
Zhuohang Shen, Mohammed Yaseen, Denini Silva, Kevin Guan, Junho Lee, Marcelo d'Amorim, Owolabi Legunsen
https://arxiv.org/abs/2509.06324

A Generic and Efficient Python Runtime Verification System and its Large-scale Evaluation
Runtime verification (RV) now scales for testing thousands of open-source Java projects, helping find hundreds of bugs. The popular Python ecosystem could use such benefits. But, today's Python RV systems are limited to a domain or specification logic, or slow. We propose PyMOP, a generic, extensible, and efficient RV system for Python. PyMOP supports five logics, implements five existing monitoring algorithms, ships with 73 API specs of Python and widely-used libraries, supports three instrume…

end of a saga! 🥲
https://github.com/python-cffi/cffi/releases/tag/v2.0.0

Release v2.0.0 · python-cffi/cffi
What's Changed Add Python 3.14 support. Add CPython free-threaded support (3.14t+ only) - huge thanks to the folks at Quansight Labs for all the work to get this one sorted! Drop Python <= 3.8 sup...

pyGinkgo: A Sparse Linear Algebra Operator Framework for Python
Keshvi Tuteja, Gregor Olenik, Roman Mishchuk, Yu-Hsiang Tsai, Markus G\"otz, Achim Streit, Hartwig Anzt, Charlotte Debus
https://arxiv.org/abs/2510.08230

pyGinkgo: A Sparse Linear Algebra Operator Framework for Python
Sparse linear algebra is a cornerstone of many scientific computing and machine learning applications. Python has become a popular choice for these applications due to its simplicity and ease of use. Yet high performance sparse kernels in Python remain limited in functionality, especially on modern CPU and GPU architectures. We present pyGinkgo, a lightweight and Pythonic interface to the Ginkgo library, offering high-performance sparse linear algebra support with platform portability across CU…

I'm fixing #aiocoap's memory leak tests to finally run as async functions: the original tests employed mechanisms from the age of tulip (back when asyncio was developed out-of-tree), and Python 3.14 dropping some obsolete mechanisms.
Good riddance, but also tough work fixing subtle possible leaks that are suddenly easier to discover.

They need to stop releasing new versions pf Python and just fix the many that we've already got. https://mastodon.social/@hugovk/115333348041057866

Hugo van Kemenade (@hugovk@mastodon.social)
Attached: 1 image 🚀 It's out! 🥧 Please install and enjoy Python 3.14! https://discuss.python.org/t/python-3-14-0-final-is-here/104210?u=hugovk #Python #Python314 #release

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…

heise | Diffusers: Wie Sie Bilder mit Python und KI lokal generieren und verändern
Mit der freien Bibliothek Diffusers von Hugging Face kann Python lokal neue Bilder erzeugen, vorhandene in einem anderen Stil ausgeben oder sie bearbeiten.

#Python is Dying and Nobody Wants to Admit It
https://medium.com/codeelevation/python-is-dying-and-nobody-wants-to-admit-it-4260f774117a

A bit of Go at #EuroRust25 👀
on attributes, or things to do outside-the-language stuff
(also looking at Java, Python and C for comparison)

PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing
Jianhan Zhang, Jitao Wang, Chengchun Shi, John D. Piette, Donglin Zeng, Zhenke Wu
https://arxiv.org/abs/2510.06935

PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing
Reinforcement learning (RL) aims to learn and evaluate a sequential decision rule, often referred to as a "policy", that maximizes the population-level benefit in an environment across possibly infinitely many time steps. However, the sequential decisions made by an RL algorithm, while optimized to maximize overall population benefits, may disadvantage certain individuals who are in minority or socioeconomically disadvantaged groups. To address this problem, we introduce PyCFRL, a Python librar…

PyPAS -- Python package for Positron Annihilation Spectroscopy Doppler Broadening Analysis
Achiya Yosef Amrusi, Sharon May-Tal Beck, Hadar Steinberg, Guy Ron
https://arxiv.org/abs/2509.08023

PyPAS -- Python package for Positron Annihilation Spectroscopy Doppler Broadening Analysis
Doppler Broadening (DB) of annihilation radiation is a well-established technique within Positron Annihilation Spectroscopy (PAS), used for probing the electronic structure of materials. The analysis of DB experimental data relies on gamma spectroscopy analysis tools, while depth profiling using variable-energy slow positron beams depends on solving the positron diffusion equation. Traditional Variable Energy Doppler Broadening (VEDB) analysis tools, such as VEPFIT and ROYPROF, often present li…

»Rückgrat — Python lehnt Millionenförderung durch Trump-Regierung wegen Anti-Diversitäts-Auflagen ab:
Die Python Software Foundation hätte mit 1,5 Millionen US-Dollar die größte Förderung in der eigenen Geschichte erhalten sollen«
Gut dass Python sich klar gegen Trumps Einkaufen von Propaganda wehrt auch wenn es Finanziell suboptimal ist. Nun können andere Sponsoren zeigen wie Weltoffen die wirklich sind.
:python:

Python lehnt Millionenförderung durch Trump-Regierung wegen Anti-Diversitäts-Auflagen ab
Die Python Software Foundation hätte mit 1,5 Millionen US-Dollar die größte Förderung in der eigenen Geschichte erhalten sollen

Fast simulations of continuous-variable circuits using the coherent state decomposition
Olga Solodovnikova, Ulrik L. Andersen, Jonas S. Neergaard-Nielsen
https://arxiv.org/abs/2508.06175

Fast simulations of continuous-variable circuits using the coherent state decomposition
We present \texttt{lcg\_plus}, an open-source Python library for the simulation of continuous-variable quantum circuits with both generaldyne and photon-number-resolving detector capabilities. Our framework merges the linear combination of Gaussians methodology with the coherent state decomposition of arbitrary non-Gaussian states, forming a bridge between the Gaussian and Fock basis representations. By tracking the Wigner function, we can simulate the action of Gaussian channels and measuremen…

I’m somewhat exhausted to announce attrs 25.4.0!
The main reason for this release (and why it's published today) is that it ships the first pieces of work for Python 3.14 and PEP 749. There will be more work required and there's going to be a lot more churn once everyone starts testing 3.14 earnestly. We hope to receive more feedback before spending more time on this. #Python

Release 25.4.0 · python-attrs/attrs
Highlights The main reason for this release (and why it's published today) is that it ships the first pieces of work for Python 3.14 and PEP 749. There will be more work required and there's going ...

Die #Python Software Foundation hat eine #Förderung von 1,5 Millionen US-Dollar durch die US-Regierung abgelehnt, da sie an Auflagen gegen #Diversität und

Python lehnt Millionenförderung durch Trump-Regierung wegen Anti-Diversitäts-Auflagen ab
Die Python Software Foundation hätte mit 1,5 Millionen US-Dollar die größte Förderung in der eigenen Geschichte erhalten sollen

jmstate, a Flexible Python Package for Multi-State Joint Modeling
F\'elix Laplante, Christophe Ambroise, Estelle Kuhn, Sarah Lemler
https://arxiv.org/abs/2510.07128 https://…

jmstate, a Flexible Python Package for Multi-State Joint Modeling
Classical joint modeling approaches often rely on competing risks or recurrent event formulations to account for complex real-world processes involving evolving longitudinal markers and discrete event occurrences. However, these frameworks typically capture only limited aspects of the underlying event dynamics. Multi-state joint models offer a more flexible alternative by representing full event histories through a network of possible transitions, including recurrent cycles and terminal absor…

Also yesterday at #OpenSSLCon25: Alex Gaynor of #Python #Cryptography saying their own X.509 parser written in Rust is six times faster than

As the hockey drifts in from the other room, I swear I hear the commentator say "Habermas to Derrida. Goal!!!" I'd be all for that Python update.

Computations and ML for surjective rational maps
Ilya Karzhemanov
https://arxiv.org/abs/2510.08093 https://arxiv.org/pdf/2510.08093

Computations and ML for surjective rational maps
The present note studies \emph{surjective rational endomorphisms} $f: \mathbb{P}^2 \dashrightarrow \mathbb{P}^2$ with \emph{cubic} terms and the indeterminacy locus $I_f \ne \emptyset$. We develop an experimental approach, based on some Python programming and Machine Learning, towards the classification of such maps; a couple of new explicit $f$ is constructed in this way. We also prove (via pure projective geometry) that a general non-regular cubic endomorphism $f$ of $\mathbb{P}^2$ is surject…

Snowpark: Performant, Secure, User-Friendly Data Engineering and AI/ML Next To Your Data
Brandon Baker, Elliott Brossard, Chenwei Xie, Zihao Ye, Deen Liu, Yijun Xie, Arthur Zwiegincew, Nitya Kumar Sharma, Gaurav Jain, Eugene Retunsky, Mike Halcrow, Derek Denny-Brown, Istvan Cseri, Tyler Akidau, Yuxiong He
https://arxiv.org/abs/2508.05904…

Snowpark: Performant, Secure, User-Friendly Data Engineering and AI/ML Next To Your Data
Snowflake revolutionized data analytics with an elastic architecture that decouples compute and storage, enabling scalable solutions supporting data architectures like data lake, data warehouse, data lakehouse, and data mesh. Building on this foundation, Snowflake has advanced its AI Data Cloud vision by introducing Snowpark, a managed turnkey solution that supports data engineering and AI and ML workloads using Python and other programming languages. This paper outlines Snowpark's design obj…

Manufacturer issues remote kill command to disable smart vacuum after engineer blocks it from collecting data
— Then the user revives it with custom hardware and Python scripts to run offline

Manufacturer issues remote kill command to disable smart vacuum after engineer blocks it from collecting data — user revives it with custom hardware and Python scripts to run offline
The smart vacuum cleaner was remotely bricked for not collecting data.

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…

nsEVDx: A Python library for modeling Non-Stationary Extreme Value Distributions
Nischal Kafle, Claudio I. Meier
https://arxiv.org/abs/2509.07261 https://a…

nsEVDx: A Python library for modeling Non-Stationary Extreme Value Distributions
nsEVDx is an open-source Python package for fitting stationary and nonstationary Extreme Value Distributions (EVDs) to extreme value data. It can be used to model extreme events in fields like hydrology, climate science, finance, and insurance, using both frequentist and Bayesian methods. For Bayesian inference it employs advanced Monte Carlo sampling techniques such as Metropolis-Hastings, Metropolis-adjusted Langevin (MALA), and Hamiltonian Monte Carlo (HMC). Unlike many existing extreme valu…

I learned about PsychoPy which is an open-source package for running experiments in Python (a real and free alternative to Matlab).
Anyone using it?
#python

Meine SF- und Fantasy-Lektüre: mit Magiesystemen, Arcane, dem akademischen Höllenritt von Katabasis und einem leider enttäuschenden Solarpunk-Zeitreise-Buch.
https://blog.till-westermayer.de/index.php/2025/10/08/science-fiction-und-fantasy…

Science Fiction und Fantasy im September 2025
Im September fand ich weniger Zeit zum Lesen als üblicherweise. Das hat verschiedene Gründe; neben einem Fokus auf Serien - und einem Buch, mit dem ich mich schwer getan habe - habe ich größere Teile meiner Freizeit mit einem Python-Projekt gefüllt. Aber genug der Vorrede: Auf dem Bildschirm gese

AutoVeriFix: Automatically Correcting Errors and Enhancing Functional Correctness in LLM-Generated Verilog Code
Yan Tan, Xiangchen Meng, Zijun Jiang, Yangdi Lyu
https://arxiv.org/abs/2509.08416

AutoVeriFix: Automatically Correcting Errors and Enhancing Functional Correctness in LLM-Generated Verilog Code
Large language models (LLMs) have demonstrated impressive capabilities in generating software code for high-level programming languages such as Python and C++. However, their application to hardware description languages, such as Verilog, is challenging due to the scarcity of high-quality training data. Current approaches to Verilog code generation using LLMs often focus on syntactic correctness, resulting in code with functional errors. To address these challenges, we present AutoVeriFix, a no…

OrbDot: A Python package for studying the secular evolution of exoplanet orbits
Simone R. Hagey, Aaron Boley
https://arxiv.org/abs/2509.04531 https://arxiv…

OrbDot: A Python package for studying the secular evolution of exoplanet orbits
OrbDot is a Python package for studying the secular (long-term) evolution of exoplanet orbits from observational data. It employs nested sampling algorithms to fit evolutionary models to any combination of transit and eclipse mid-times, radial velocities, and transit durations. Beyond model fitting, OrbDot offers tools for interpreting results, generating reports on model comparisons, derived tidal decay parameters, predicted precession rates, implications for planetary companions, and more.

Open-source security group pulls out of U.S. grant, citing DEI restrictions
https://cyberscoop.com/python-software-foundation-rejects-federal-grant-funding-citing-dei-restrictions/

Replaced article(s) found for cs.CE. https://arxiv.org/list/cs.CE/new
[1/1]:
- PyHexTop: a compact Python code for topology optimization using hexagonal elements
Aditi Agarwal, Anupam Saxena, Prabhat Kumar

A feature which I'm really looking forward to is brewing in #Python packaging: Specifying default extras.
The aiocoap library I maintain can (and is tested to) work with no other dependencies than Python, but most users will like the additional features such as pretty-printing support, or more security options than just TLS. So far, they have to `pip run --spec "aiocoap[all]" aio…

PEP 771 – Default Extras for Python Software Packages | peps.python.org
PEP 508 specifies a mini-language for declaring package dependencies. One feature of this language is the ability to specify extras, which are optional components of a distribution that, when used, install additional dependencies. This PEP proposes a me...

🧵 Scaling asyncio on Free-Threaded Python
#python

Scaling asyncio on Free-Threaded Python
A recap on the work done in Python 3.14 to enable asyncio to scale on the free-threaded build of CPython.

msmJAX: Fast and Differentiable Electrostatics on the GPU in Python
Florian Buchner, Johannes Sch\"orghuber, Nico Unglert, Jes\'us Carrete, Georg K. H. Madsen
https://arxiv.org/abs/2510.05961 …

msmJAX: Fast and Differentiable Electrostatics on the GPU in Python
We present msmJAX, a Python package implementing the multilevel summation method with B-spline interpolation, a linear-scaling algorithm for efficiently evaluating electrostatic and other long-range interactions in particle-based simulations. Built on the JAX framework, msmJAX integrates naturally with the machine-learning methods that are transforming chemistry and materials science, while also serving as a powerful tool in its own right. It combines high performance with Python's accessibilit…

TeMFpy: a Python library for converting fermionic mean-field states into tensor networks
Simon H. Hille, Attila Szab\'o
https://arxiv.org/abs/2510.05227 https://

TeMFpy: a Python library for converting fermionic mean-field states into tensor networks
We introduce TeMFpy, a Python library for converting fermionic mean-field states to finite or infinite matrix product state (MPS) form. TeMFpy includes new, efficient, and easy-to-understand algorithms for both Slater determinants and Pfaffian states. Together with Gutzwiller projection, these also allow the user to build variational wave functions for various strongly correlated electron systems, such as quantum spin liquids. We present all implemented algorithms in detail and describe how the…

GMTHRASHpy: Forward Convolutions of Crossed Molecular Beams Experiments in Python
Kazuumi Fujioka, Rui Sun
https://arxiv.org/abs/2510.05398 https://arxiv.o…

GMTHRASHpy: Forward Convolutions of Crossed Molecular Beams Experiments in Python
We introduce GMTHRASHpy, a Python-based application to do forward convolution fits of crossed molecular beams experiments. The code is designed to be easy-to-use and widely-available, so as to be of value to anyone wanting to reproduce data or fits from these experiments. GMTHRASHpy has been benchmarked to replicate the original GMTHRASH executable for a wide variety of published reactions. The inputs and algorithm guiding it are explained. The code is open-source and can be downloaded at: gith…

“50% of Python practitioners who took the JetBrains survey have less than 2 years of professional experience.”
I might have a chance to transition from #dotnet to #python as a geriatric junior. 🤣

The State of Python 2025 | The PyCharm Blog
Discover the latest Python trends and predictions backed by a survey of over 30,000 developers.

Crosslisted article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- pyGinkgo: A Sparse Linear Algebra Operator Framework for Python
Tuteja, Olenik, Mishchuk, Tsai, G\"otz, Streit, Anzt, Debus

🎤 Create custom voice agents in under 10 minutes using #Python with STT, LLM and TTS pipelines like #Deepgram, #OpenAI GPT-4o and

Empirical Evaluation of AI-Assisted Software Package Selection: A Knowledge Graph Approach
Siamak Farshidi, Amir Saberhabibi, Behbod Eskafi, Niloofar Nikfarjam, Sadegh Eskandari, Slinger Jansen, Michel Chaudron, Bedir Tekinerdogan
https://arxiv.org/abs/2508.05693

Empirical Evaluation of AI-Assisted Software Package Selection: A Knowledge Graph Approach
Selecting third-party software packages in open-source ecosystems like Python is challenging due to the large number of alternatives and limited transparent evidence for comparison. Generative AI tools are increasingly used in development workflows, but their suggestions often overlook dependency evaluation, emphasize popularity over suitability, and lack reproducibility. This creates risks for projects that require transparency, long-term reliability, maintainability, and informed architectura…

At Berlin Buzzwords 2025, Viola Rädle & Raphael Franke presented gamma_flow, an open-source Python package for real-time spectral data analysis.
Watch the full session: https://youtu.be/cDCtdStMWuc?si=FyrOSJ8UIjmeQfLl
Berlin Buzzwords returns on 7-9 June 2026! Get 36% off with our Trust Us Ticket: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/

Oh good! Someone from the @… community can weigh in on the benefits.
Oh wait…
Anyway, sooner or later the time for computable reals will come. I'm still HODLing stock in continued fractions (and teaching them every year to my first-year students).

Understanding #Docker Internals: Building a Container Runtime in Python
https://muhammadraza.me/2024/building-container-runtime-python/

from my link log —
Crimes with Python's pattern matching.
https://www.hillelwayne.com/post/python-abc/
saved 2025-09-11 https:/…

Älskar felmeddelanden i Windows. På en svensk installation får jag följande felmeddelande. Nån som kan gissa vad det betyder (jag fårstår åtkomst nekad), men det kyrilliska/arabiska? #powerbi #python #felmeddelande

Before I go writing my own, is anyone aware of a python package for solving employee scheduling type problems? Perhaps backed by Google's OR-Tools?
They have all the math covered, but the interface is a bit unwieldy. So I'd like to use or write something that is written with the domain in mind, not abstract optimization.
#LazyWeb

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…

NuLattice: Ab initio computations of atomic nuclei on lattices
M. Rothman, B. Johnson-Toth, G. Hagen, M. Heinz, T. Papenbrock
https://arxiv.org/abs/2509.08771 https://

NuLattice: Ab initio computations of atomic nuclei on lattices
We introduce NuLattice, a Python software package for ab initio computations of atomic nuclei on lattices. The computational tools consist of Hartree Fock, the coupled cluster method, the in-medium similarity renormalization group, and full configuration interaction. At present, the employed interactions are from pion-less effective field theory at leading order and consist of two-body and three-body contacts. We present results for light nuclei $^{2}$H, $^{3,4}$He, $^{8}$Be, $^{12}$C, and $^{1…

Hybrid restricted master problem for Boolean matrix factorisation
Ellen Visscher, Michael Forbes, Christopher Yau
https://arxiv.org/abs/2509.06192 https://…

Hybrid restricted master problem for Boolean matrix factorisation
We present bfact, a Python package for performing accurate low-rank Boolean matrix factorisation (BMF). bfact uses a hybrid combinatorial optimisation approach based on a priori candidate factors generated from clustering algorithms. It selects the best disjoint factors before performing either a second combinatorial or heuristic algorithm to recover the BMF. We show that bfact does particularly well at estimating the true rank of matrices in simulated settings. In real benchmarks, using a coll…

Because if you take the king's pence...
Python Foundation Rejects Government Grant Over DEI Restrictions - Slashdot
https://developers.slashdot.org/story/25/10/28/211237/python-foundation-rejects-government-grant-over-dei-restrictions

ArchXBench: A Complex Digital Systems Benchmark Suite for LLM Driven RTL Synthesis
Suresh Purini, Siddhant Garg, Mudit Gaur, Sankalp Bhat, Sohan Mupparapu, Arun Ravindran
https://arxiv.org/abs/2508.06047

ArchXBench: A Complex Digital Systems Benchmark Suite for LLM Driven RTL Synthesis
Modern SoC datapaths include deeply pipelined, domain-specific accelerators, but their RTL implementation and verification are still mostly done by hand. While large language models (LLMs) exhibit advanced code-generation abilities for programming languages like Python, their application to Verilog-like RTL remains in its nascent stage. This is reflected in the simple arithmetic and control circuits currently used to evaluate generative capabilities in existing benchmarks. In this paper, we int…

I had over three hundred accounts following me that I didn't follow back, mostly because I lost track of all the new followers.
So I did the unthinkable thing:
I asked Perplexity to write me a python script to follow everyone back. I will just unfollow some of them later, if I don't like them enough. But for now, everyone gets the benefit of the doubt.😉
The script needed some adjustments, but it worked.
Here's the script if you need it:

followback
A short python script that looks for all your mastodon followers that you don't follow back, and follows them.

The Lumberjack Song is one of the best-known and most popular sketches by the Monty Python comedy troupe. The song was written by Terry Jones, Michael Palin, and Fred Tomlinson.
The Lumberjack Song | Monty Python's Flying Circus
https://www.youtube.com/shorts/FvlIJGa8kgE

Fractal Aggregate Aerosols in the Virga Cloud Code I: Model Description and Application to a Benchmark Cloudy Exoplanet
Sarah E. Moran, Matt G. Lodge, Natasha E. Batalha, Kazumasa Ohno, Sanaz Vahidinia, Mark S. Marley, Hannah R. Wakeford, Z\"oe M. Leinhardt
https://arxiv.org/abs/2509.06708

Fractal Aggregate Aerosols in the Virga Cloud Code I: Model Description and Application to a Benchmark Cloudy Exoplanet
We introduce new functionality to treat fractal aggregate aerosol particles within the Virga cloud modeling framework. Previously, the open source cloud modeling code Virga (Batalha et al. 2025), the Python version of EddySed (Ackerman & Marley, 2001), assumed spherical particles to compute particle mass and size distributions throughout the atmosphere. The initial release of Virga also assumed spherical particles to compute Mie scattering properties, which include the single scattering albedo,…

Developing a Cost-Effective Spectrometer: A Practical Approach
Mohammad Tahsin Alam, Zafrin Jahan Nikita, Yasir Mahmud, Rafichha Yeasmin, Fairuz Darimi Bushra, Sheikh Hasib Cheragee, Redwanul Talukder Zeem
https://arxiv.org/abs/2510.06703

Developing a Cost-Effective Spectrometer: A Practical Approach
The paper demonstrates the design and execution of a low-cost optical spectrometer that employs a webcam, diffraction grating & Python (a free, open-source programming language). The device's design prioritized economy and usability, with a black box casing to reduce stray light and increase measurement accuracy. A diffraction grating made from a DVD was used to split light into its constituent wavelengths, which were then collected by the camera. The calibration procedure used a RED TIDE USB65…

CLAPP: The CLASS LLM Agent for Pair Programming
Santiago Casas, Christian Fidler, Boris Bolliet, Francisco Villaescusa-Navarro, Julien Lesgourgues
https://arxiv.org/abs/2508.05728

CLAPP: The CLASS LLM Agent for Pair Programming
We introduce CLAPP (CLASS LLM Agent for Pair Programming), an interactive AI assistant designed to support researchers working with the Einstein-Boltzmann solver CLASS. CLAPP leverages large language models (LLMs) and domain-specific retrieval to provide conversational coding support for CLASS-answering questions, generating code, debugging errors, and producing plots. Its architecture combines multi-agent LLM orchestration, semantic search across CLASS documentation, and a live Python executio…

#Python Friday #295: A Simple Strategy to Tackle Errors
https://pythonfriday.dev/2025/09/295-a-simple-strategy-to-tackle-errors/

#295: A Simple Strategy to Tackle Errors - Python Friday
None

📊 Meine Top4-Beiträge der letzten Woche mit den meisten Boosts sind:
1. Die #Python Software Foundation hat 1,5 Mio USD #Förderung von US-Regierung abgelehnt.

Nach längerer Zeit mal wieder mit meinem 13" macBook im Zug unterwegs. Dachte mir, ich installier mal flott aerc um meine Mails zu lesen. Dachte sich brew, nö, da bau ich jetzt erst mal Python 3.13. Mails lesen dauert dann heute länger. Danke für nichts, brew.
#brew

CosinorAge: Unified Python and Web Platform for Biological Age Estimation from Wearable- and Smartwatch-Based Activity Rhythms
Jinjoo Shim, Jacob Hunecke, Elgar Fleisch, Filipe Barata
https://arxiv.org/abs/2509.01089

CosinorAge: Unified Python and Web Platform for Biological Age Estimation from Wearable- and Smartwatch-Based Activity Rhythms
Every day, millions of people worldwide track their steps, sleep, and activity rhythms with smartwatches and fitness trackers. These continuously collected data streams present a remarkable opportunity to transform routine self-tracking into meaningful health insights that enable individuals to understand -- and potentially influence -- their biological aging. Yet most tools for analyzing wearable data remain fragmented, proprietary, and inaccessible, creating a major barrier between this vast …

A Python Interface for Numerical Relativity Program AMSS-NCKU
Chen-Kai Qiao, Yi Zheng, Zhou-Jian Cao
https://arxiv.org/abs/2509.21652 https://arxiv.org/pdf…

A Python Interface for Numerical Relativity Program AMSS-NCKU
Numerical relativity has produced wide-ranging influences on modern astrophysics and gravitational-wave astronomy. In this work, we develop a Python interface for the numerical relativity program AMSS-NCKU, which enables the automation of initializing and starting the AMSS-NCKU simulations and the automatically generating visualizations of the output results. Numerical relativity simulations using this Python interface have been presented through two representative examples (binary back hole an…

@… hi, you probably already know, it seems that all sponsors' logos are missing from <https://www.python.org/psf/sponsors/>.
(Compare with <

https://linuxiac.com/new-movie-python-the-documentary-traces-the-languages-story/

"Data is code!!!" I chant as I give wedgies to people who don’t think this is a work of art compared to JSON. :P
https://github.com/jevinskie/clang-unformat-ng/blob/main/python/src/clang_unformat_ng/styleopts_data.py

clang-unformat-ng/python/src/clang_unformat_ng/styleopts_data.py at main · jevinskie/clang-unformat-ng
Generate clang format rules w/o forking and with hyperparameter tuning and custom objectives - jevinskie/clang-unformat-ng

🛠️ Fully #opensource #Python framework you can self-host or deploy to LiveKit Cloud with one CLI command. 🐙 https://github.com/livekit/agents

On the way to Berlin. I’m really looking forward to the BBQ with all the Berlin Python user groups: #Python

Python in Berlin BBQ @ c-base, Thu, Aug 14, 2025, 7:00 PM | Meetup
Normally we announce our talks here, but this time we are taking a short summer break and therefore invite you to a barbecue at the Spree. The BBQ is for all Berlin Python

Improving Runtime Performance of Tensor Computations using Rust From Python
Kimmie Harding, Daniel M. Dunlavy
https://arxiv.org/abs/2510.01495 https://arxi…

Improving Runtime Performance of Tensor Computations using Rust From Python
In this work, we investigate improving the runtime performance of key computational kernels in the Python Tensor Toolbox (pyttb), a package for analyzing tensor data across a wide variety of applications. Recent runtime performance improvements have been demonstrated using Rust, a compiled language, from Python via extension modules leveraging the Python C API -- e.g., web applications, data parsing, data validation, etc. Using this same approach, we study the runtime performance of key tensor …

I've added another script to my bikeStats Python scripts. It's all pretty simple stuff, but maybe someone will find it useful.
I need to clean up and release all the bike mapping GPX stuff I've been working on lately as well.
https://codeberg.org/raster/milesBiked

milesBiked
A Python script to make bar graphs showing how many miles I've biked...

#Python on the Edge: Fast, sandboxed, and powered by #WebAssembly
https://wasmer.io/posts/python-on-the-

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…

attrs will have a way to introspect the EFFECTIVE class build parameters in the next version. I swear to Cthulhu I thought this PR is gonna kill me (there's been A LOT more private hence and forth in the background), but I'm happy how it turned out: https://github.com/python-attrs/attrs/pu…

Expose effective class construction properties by hynek · Pull Request #1454 · python-attrs/attrs
ref #602 This is for now just private and the impact zone is limited. But I'm confident it can help us to simplify a bunch of code. I'm especially rather unhappy with the weird entanglement...

Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[4/4]:
- QDFlow: A Python package for physics simulations of quantum dot devices
Donovan L. Buterakos, Sandesh S. Kalantre, Joshua Ziegler, Jacob M Taylor, Justyna P. Zwolak

PyDislocDyn: A Python code for calculating dislocation drag and other crystal properties
Daniel N. Blaschke
https://arxiv.org/abs/2509.02900 https://arxiv.…

PyDislocDyn: A Python code for calculating dislocation drag and other crystal properties
PyDislocDyn is a suite of python programs designed to perform various calculations for basic research in dislocation dynamics in metals with various crystal symmetries in the continuum limit. In particular, one of its main purposes is to calculate dislocation drag from phonon wind. Additional features include the averaging of elastic constants for polycrystals, the calculation of the dislocation field including its limiting velocities, and the calculation of dislocation self-energy and line ten…

PyTrim: A Practical Tool for Reducing Python Dependency Bloat
Konstantinos Karakatsanis, Georgios Alexopoulos, Ioannis Karyotakis, Foivos Timotheos Proestakis, Evangelos Talos, Panos Louridas, Dimitris Mitropoulos
https://arxiv.org/abs/2510.00674

PyTrim: A Practical Tool for Reducing Python Dependency Bloat
Dependency bloat is a persistent challenge in Python projects, which increases maintenance costs and security risks. While numerous tools exist for detecting unused dependencies in Python, removing these dependencies across the source code and configuration files of a project requires manual effort and expertise. To tackle this challenge we introduce PYTRIM, an end-to-end system to automate this process. PYTRIM eliminates unused imports and package declarations across a variety of file types,…

@… FYI on https://www.python.org/psf/volunteer/ you have a link to

#Python Friday #299 A Minimalistic FAQ Bot
https://pythonfriday.dev/2025/10/299-a-minimalistic-faq-bot/

#299 A Minimalistic FAQ Bot - Python Friday
None

Proyecto ñoñístico en curso: script en python para migrar las publicaciones de Pixelfed a Wordpress usando el archivo json de los posts.
El objetivo es que mi blog remplace la cuenta de pixelfed, como parte de mi idea de convertir ese sitio en mi base de operaciones online.
#Wordpress #Pixelfed

We have finally documented Ruff – the tool greatly simplifies static code analysis for Python projects: #Python

Ruff
Ruff is an extremely fast Python linter and code formatter written in Rust that can enforce the rules of flake8, isort, perflint, Black, Bandit, and others. In total, Ruff can check over 800 rules....

#SlowHorses
🤝
#Python

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation
Qianheng Zhang, Song Gao, Chen Wei, Yibo Zhao, Ying Nie, Ziru Chen, Shijie Chen, Yu Su, Huan Sun
https://arxiv.org/abs/2509.05881

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation
Recent advances in large language models (LLMs) have fueled growing interest in automating geospatial analysis and GIS workflows, yet their actual capabilities remain uncertain. In this work, we call for rigorous evaluation of LLMs on well-defined geoprocessing tasks before making claims about full GIS automation. To this end, we present GeoAnalystBench, a benchmark of 50 Python-based tasks derived from real-world geospatial problems and carefully validated by GIS experts. Each task is paired w…

#Steady-CommunityContent
Mit einem einfachen #Python-Skript auf dem #RaspberryPi sollten die Leistungsdaten des EZ1-SPE

EZ1-SPE Daten lokal speichern: Python-Skript auf Raspberry Pi (7/10)
Du willst Deine Wechselrichter-Daten lokal speichern und auswerten? So geht’s mit Raspberry Pi, Python und der EZ1-API!

one more month until we can start supporting only double-digit Python versions 😍

Years ago I had this Processing app that I used to create time stamped images from a webcam. It no longer works. (It’s been years since I used it.)
I was able to rewrite what I need in Python fairly easily, so that’s pretty awesome.
I used to really love Processing but I guess I love Python now.
#processing

Development of aiocoap, my Python CoAP library, is approaching its next breaking release.
If there's anything about its usability as a library that has been bugging you, especially if it would require breaking changes: Let me know soon, either here or on the issue tracker at https://github.com/chrysn/aiocoap/issu

chrysn/aiocoap
The Python CoAP library. Contribute to chrysn/aiocoap development by creating an account on GitHub.

💻 New Tech Unveiled Meet TSUs (Thermodynamic Sampling Units)! The X0 prototype chip proves these primitives work in silicon at room temp. Plus, XTR0 desktop kit for early researchers—available this fall.
📚 #OpenSource Kickstart Dive in with Thermal, the #Python library to simulate TSUs…

LWN: Explicit lazy imports for #Python
I'm VERY excited by this PEP.
https://lwn.net/SubscriberLink/1041120/d969b8b8c72251be/

I think my code would work perfectly except that os.utime does not actually work...
#python #code #programming