Pure-Python symbolic regression that rediscovered Kepler's law from 8 data point
https://github.com/ariel95500-create/gp-elite
https://github.com/ariel95500-create/gp-elite
GitHub
GitHub - ariel95500-create/gp-elite: Pure-Python symbolic regression (GP + LM)
Pure-Python symbolic regression (GP + LM). Contribute to ariel95500-create/gp-elite development by creating an account on GitHub.
Miles: A PyTorch-Native Stack for Large-Scale LLM RL Post-Training
Miles is an open source PyTorch-native framework for large-scale LLM reinforcement-learning post-training, combining SGLang for rollouts, Megatron-LM for training, Ray for orchestration, and PyTorch for extensibility. The post explains how Miles handles the hard systems problems behind frontier RL, including async rollout/training, fast weight sync, MoE alignment, low-precision recipes, ...
https://pytorch.org/blog/miles-a-pytorch-native-stack-for-large-scale-llm-rl-post-training/
Miles is an open source PyTorch-native framework for large-scale LLM reinforcement-learning post-training, combining SGLang for rollouts, Megatron-LM for training, Ray for orchestration, and PyTorch for extensibility. The post explains how Miles handles the hard systems problems behind frontier RL, including async rollout/training, fast weight sync, MoE alignment, low-precision recipes, ...
https://pytorch.org/blog/miles-a-pytorch-native-stack-for-large-scale-llm-rl-post-training/
PEP 814: Add frozendict built-in type
The post explains the path from rejected PEP 416 and stalled PEP 603 to accepted PEP 814, which adds a built-in frozendict type to Python 3.15. It covers how frozendict works, why it is hashable only when values are hashable, where the standard library now supports it, and what C/Python code may need to update.
https://vstinner.github.io/pep-814-add-frozendict-builtin-type.html
The post explains the path from rejected PEP 416 and stalled PEP 603 to accepted PEP 814, which adds a built-in frozendict type to Python 3.15. It covers how frozendict works, why it is hashable only when values are hashable, where the standard library now supports it, and what C/Python code may need to update.
https://vstinner.github.io/pep-814-add-frozendict-builtin-type.html
vstinner.github.io
PEP 814: Add frozendict built-in type — Victor Stinner blog 3
Title: PEP 814: Add frozendict built-in type; Date: 2026-07-04; Author: Victor Stinner
antigravity-sdk-python
A Python library for building AI agents that leverage the full power of Google Antigravity.
https://github.com/google-antigravity/antigravity-sdk-python
A Python library for building AI agents that leverage the full power of Google Antigravity.
https://github.com/google-antigravity/antigravity-sdk-python
GitHub
GitHub - google-antigravity/antigravity-sdk-python: A Python library for building AI agents that leverage the full power of Google…
A Python library for building AI agents that leverage the full power of Google Antigravity. - google-antigravity/antigravity-sdk-python
Sandboxing an AI Agent
The post explains why autonomous AI agents should run in isolated sandboxes instead of directly on a developer’s laptop, especially as agents gain auto-approval, long-running tasks, file access, and network access. It compares sandbox architectures, from tool-backend setups to agents living fully inside the sandbox, and explains the tradeoffs across security, secrets, streaming, performa...
https://sajalsharma.com/posts/sandboxing-an-ai-agent/
The post explains why autonomous AI agents should run in isolated sandboxes instead of directly on a developer’s laptop, especially as agents gain auto-approval, long-running tasks, file access, and network access. It compares sandbox architectures, from tool-backend setups to agents living fully inside the sandbox, and explains the tradeoffs across security, secrets, streaming, performa...
https://sajalsharma.com/posts/sandboxing-an-ai-agent/
A peek into Reddit's anti-spam internals
How Reddit accidentally leaked its spamurai system.
https://lyra.horse/blog/2026/06/reddit-spam-internals/
How Reddit accidentally leaked its spamurai system.
https://lyra.horse/blog/2026/06/reddit-spam-internals/
lyra's epic blog
A peek into Reddit's anti-spam internals
How Reddit accidentally leaked its spamurai system.
Automate Excel with Python: From manual grind to one-click workflow
https://nostarch.com/automate-excel-with-python
https://nostarch.com/automate-excel-with-python
Nostarch
Automate Excel with Python
AI can write the code. You still need to know what it does.
Celery on AWS ECS - Complete Guide
The post explains why running Celery on AWS ECS can cause lost, delayed, duplicated, or never-completed tasks due to ECS shutdown behavior, Celery defaults, prefetching, and timeout edge cases. It recommends safer production settings, shorter/idempotent task design, fan-out or batching, RabbitMQ on Amazon MQ, and Redis-based locking to make Celery workers more reliable on ECS.
https://jangiacomelli.com/blog/celery-on-aws-ecs/
The post explains why running Celery on AWS ECS can cause lost, delayed, duplicated, or never-completed tasks due to ECS shutdown behavior, Celery defaults, prefetching, and timeout edge cases. It recommends safer production settings, shorter/idempotent task design, fan-out or batching, RabbitMQ on Amazon MQ, and Redis-based locking to make Celery workers more reliable on ECS.
https://jangiacomelli.com/blog/celery-on-aws-ecs/
jangiacomelli.com
Celery on AWS ECS - Complete Guide
Complete guide for running Celery on AWS ECS.
TabFM
TabFM (Tabular Foundation Model) is a scikit-learn compatible tabular foundation model. It allows you to perform zero-shot classification and regression on tabular datasets with mixed column types out-of-the-box.
https://github.com/google-research/tabfm
TabFM (Tabular Foundation Model) is a scikit-learn compatible tabular foundation model. It allows you to perform zero-shot classification and regression on tabular datasets with mixed column types out-of-the-box.
https://github.com/google-research/tabfm
GitHub
GitHub - google-research/tabfm: TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research…
TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification. - google-research/tabfm
Unpopular opinion: I find it counterproductive to shorten function and variable names
https://www.reddit.com/r/Python/comments/1v1102x/unpopular_opinion_i_find_it_counterproductive_to/
https://www.reddit.com/r/Python/comments/1v1102x/unpopular_opinion_i_find_it_counterproductive_to/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Needle
26m function call model that runs on incredibly small devices.
https://github.com/cactus-compute/needle
26m function call model that runs on incredibly small devices.
https://github.com/cactus-compute/needle
GitHub
GitHub - cactus-compute/needle: 26m agentic model for tiny devices
26m agentic model for tiny devices. Contribute to cactus-compute/needle development by creating an account on GitHub.
magic-extractor
Universal Windows extraction tool that detects unknown files and routes them to the right bundled extractor.
https://github.com/xchwarze/magic-extractor
Universal Windows extraction tool that detects unknown files and routes them to the right bundled extractor.
https://github.com/xchwarze/magic-extractor
GitHub
GitHub - xchwarze/magic-extractor: Universal Windows extraction tool that detects unknown files and routes them to the right bundled…
Universal Windows extraction tool that detects unknown files and routes them to the right bundled extractor. - xchwarze/magic-extractor
Mellea
Mellea is a library for writing generative programs.
https://github.com/generative-computing/mellea
Mellea is a library for writing generative programs.
https://github.com/generative-computing/mellea
GitHub
GitHub - generative-computing/mellea: Mellea is a library for writing generative programs.
Mellea is a library for writing generative programs. - generative-computing/mellea
An Intro to Spiel – Creating Presentations in Your Terminal with Python
The post introduces Spiel, an archived Python package that uses Rich to create and run slide presentations directly inside the terminal. It walks through installing Spiel, running the demo, and building simple terminal-based slides with Deck, Slide, decorators, and keyboard navigation.
https://blog.pythonlibrary.org/2026/07/10/an-intro-to-spiel-creating-presentations-in-your-terminal-with-python/
The post introduces Spiel, an archived Python package that uses Rich to create and run slide presentations directly inside the terminal. It walks through installing Spiel, running the demo, and building simple terminal-based slides with Deck, Slide, decorators, and keyboard navigation.
https://blog.pythonlibrary.org/2026/07/10/an-intro-to-spiel-creating-presentations-in-your-terminal-with-python/
Mouse Vs Python
An Intro to Spiel - Creating Presentations in Your Terminal with Python - Mouse Vs Python
Have you ever wanted to create a presentation in your computer’s terminal? While this is an uncommon need, a clever open source developer has provided a solution to this problem! The project is called Spiel, and while it is currently archived, the idea is…
6× faster binary search: from compiled code to mechanical sympathy
The post shows how a compiled binary-search bucketization routine used from Python can get much faster by aligning the algorithm with how modern CPUs actually execute code. It walks through branchless execution, removing bounds-check overhead, and enabling SIMD-friendly auto-vectorization to make the final version about 6x faster than the original.
https://pythonspeed.com/articles/branchless-binary-search/
The post shows how a compiled binary-search bucketization routine used from Python can get much faster by aligning the algorithm with how modern CPUs actually execute code. It walks through branchless execution, removing bounds-check overhead, and enabling SIMD-friendly auto-vectorization to make the final version about 6x faster than the original.
https://pythonspeed.com/articles/branchless-binary-search/
Python⇒Speed
8× faster binary search: from compiled code to mechanical sympathy
Even once you’re using compiled code, there are still opportunities for faster performance by avoiding fighting the CPU.
LLM-as-a-Verifier: A General-Purpose Verification Framework
The paper introduces LLM-as-a-Verifier, a training-free framework that improves agentic task evaluation by using continuous scores from scoring-token logits instead of discrete judge ratings. It shows that scaling verification through finer score granularity, repeated evaluation, and criteria decomposition improves accuracy across coding, robotics, and medical benchmarks, while also prov...
https://arxiv.org/pdf/2607.05391
The paper introduces LLM-as-a-Verifier, a training-free framework that improves agentic task evaluation by using continuous scores from scoring-token logits instead of discrete judge ratings. It shows that scaling verification through finer score granularity, repeated evaluation, and criteria decomposition improves accuracy across coding, robotics, and medical benchmarks, while also prov...
https://arxiv.org/pdf/2607.05391