Tootfinder

This https://arxiv.org/abs/2409.04668 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Performance Portable Monte Carlo Neutron Transport in MCDC via Numba
Finding a software engineering approach that allows for portability, rapid development, and open collaboration for high-performance computing on GPUs and CPUs is a challenge. We implement a portability scheme using the Numba compiler for Python in Monte Carlo / Dynamic Code (MC/DC), a new neutron transport application for rapidly developing Monte Carlo. Using this scheme, we have built MC/DC as an application that can run as a pure Python, compiled CPU, or compiled GPU solver. In GPU mode, we u…

Ever wondered how Kubernetes runs on a tractor? At Berlin Buzzwords 2025, join Wieneke Keller & Sebastian Lenartowicz from Aurea Imaging to explore their innovative AgTech journey! Discover how they built an edge device with Python microservices and K3s for precision farming, tackling unique rural challenges. 
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Precision farming powered by K3s and TensorRT
Aurea Imaging is an AgTech scaleup focusing on precision farming in orchards. By retrofitting our TreeScout sensor package to their tractors, farmers are able to collect data about their orchard down to the tree level as they perform other tasks. Using onboard stereo cameras, the tractor’s high-precision GPS, a machine-vision pipeline running in real time on the device, and cloud-based analytics, this data is turned into maps used by other agricultural machines that enable the grower to utili…

A bad #Python bump morning in #Gentoo:
1. A project that couldn't be bothered to make a release with a security fix for 4 years finally made a release. Of course, if you make one release in 7 years, it is definitely a good idea to replace your build system with a broken #PythonPoetry #setuptools hybrid.
2. Another project made a release with a bunch of test failures — that were fixed in "master" branch already at the time, but I guess nobody bothered testing the release branch.
3. Just discovered that a bunch of projects are using pkg_resources namespaces again — and we were supposed to have gotten rid of them years ago! Of course it's #Google. And on top of that, since pkg_resources are now throwing deprecation warnings, they are indirectly breaking random other test suites.
On the positive side, test_lolwut is failing for me in redis-py.

A Global-scale Database of Seismic Phases from Cloud-based Picking at Petabyte Scale
Yiyu Ni, Marine A. Denolle, Amanda M. Thomas, Alex Hamilton, Jannes M\"unchmeyer, Yinzhi Wang, Lo\"ic Bachelot, Chad Trabant, David Mencin
https://arxiv.org/abs/2505.18874

A Global-scale Database of Seismic Phases from Cloud-based Picking at Petabyte Scale
We present the first global-scale database of 4.3 billion P- and S-wave picks extracted from 1.3 PB continuous seismic data via a cloud-native workflow. Using cloud computing services on Amazon Web Services, we launched ~145,000 containerized jobs on continuous records from 47,354 stations spanning 2002-2025, completing in under three days. Phase arrivals were identified with a deep learning model, PhaseNet, through an open-source Python ecosystem for deep learning, SeisBench. To visualize and …

With Apache NiFi, a multimodal data pipelining tool, you can assemble existing and/or custom Java & Python processors into a variety of flows. Join Lester Martin at Berlin Buzzwords this year and watch a rich data pipeline be constructed from Kafka, stored using the Apache Iceberg table format and consumed from Trino.
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Apache Iceberg ingestion with Apache NiFi
A cornerstone requirement of an Icehouse (Iceberg + Trino) is data ingestion. One approach is to leverage Apache NiFi. NiFi, a multimodal data pipelining tool, has a multitude of processors that can be assembled into a flow to address your specific scenarios. NiFi's low-code/no-code approach allows data engineers to rapidly build, deploy, and monitor their data ingestion & transformation pipelines. NiFi also allows custom processor development with a variety of languages, including Java and Pyt…

#Python #packaging be like:
"Remember the totally random #PyTest plugin that died in 2018, that we forced you to add to #Gentoo, because we decided to start using it for no good reason? Well, we just stopped. Also, we just found a #NIH plugin that reinvents flaky test handling for the third time, enjoy!"
(Fortunately, it's compatible enough with pytest-rerunfailures, so we can ignore it.)