Python Hub Weekly Digest for 2026-10-11
This week, EvoOntology introduces a self-evolving ontology layer for data agents, addressing the agent-data gap across various data sources. The article on rotating proxies in Python provides a comprehensive guide on proxy management with the Requests library. Quail, an open-source AI-SQL engine, demonstrates significant performance improvements in query planning and LLM inference. Have a good week and happy coding!
💖 Most Popular
EvoOntology: A Self-Evolving Ontology Layer for Data Agents
EvoOntology is the first self-evolving ontology layer for data agents, aiming to bridge the agent-data gap over heterogeneous tables, files, and databases.
AI Engineering from Scratch
Build AI systems from first principles with 523 free, open-source lessons spanning math, models, tokenizers, agents, evaluation, and production.
Lemma
The open-source workspace where humans and AI agents work as one team.
Jeff
Fine-tunes of Qwen3.5 and Gemma 4 for zero-shot classification.
Taste-Bench
Taste-Bench measures the taste of an LLM agent: its ability to choose the better direction at a real decision fork in a long-horizon task.
📖 Articles
How to Rotate Proxies in Python with Requests (2026 Guide)
Practical Requests guide covering proxy authentication, rotation, sticky sessions, error handling, exit-IP checks, and SOCKS5 remote DNS.
Ciaren: open-source visual ETL exporting pandas and Polars code (alpha)
Build data pipelines visually, run locally, preview intermediate data, and export standalone Python scripts. Open-source alpha, AGPL-3.0.
Python Hub Weekly Digest for 2026-10-04
Language Models for Text Classification: From Bag-of-Words to Jev
A concise history of text classification, from bag-of-words and neural networks to transformers and modern LLM-based approaches. It also introduces Jev and examines where specialized classifiers can still outperform or complement general-purpose language models.
A Lean Proof Printing Python Union Find
Philip Zucker shows how a Python union-find data structure can generate Lean proof certificates, turning union and path-compression operations into machine-checkable equality proofs. He uses the experiment to explore the broader idea of treating proofs as traces of search, with applications to e-graphs and theorem-proving systems.
Django: serve a security.txt file
The post shows how to serve a standards-compliant security.txt file in Django so security researchers know how to report vulnerabilities. It also adds tests and a Django system check to validate the file and warn before its required Expires field becomes stale.
⚙️ Projects
ollaya
Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.
type_enforced
Fast runtime type enforcement for Python 3.11+ type annotations. Zero dependencies and uncompromising performance.
laya
Laya is a fast multilingual decision engine that produces typed classifications, scores, and probabilities in a single forward pass.
django-upgrade-report
Which of your dependencies block a Django upgrade, and in which order to upgrade them.
livenerf
A long-running, deterministic-as-possible benchmark for detecting whether a frontier model gets quietly worse after launch.
Building an Ultra-High Throughput AI-SQL Engine
Quail is an open-source AI-SQL engine that jointly optimizes query planning and LLM inference to reduce redundant model work and keep GPUs busy when running large numbers of AI-powered database operations. In benchmarks across 29 queries, it was 1.84x faster on average than tuned vLLM baselines and up to 14.04x faster on a workload with substantial KV-cache reuse.
asgeirtj / system_prompts_leaks
Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro, Antigravity. xAI - Grok, Grok Bot, Cursor, Kimi and more! Updated regularly.
🎬 Videos
Why You NEED This New Python Tool
Pyrefly is Meta’s open-source static type checker for Python, designed to catch type-related bugs before code runs instead of waiting for runtime failures. The video explains why Python and type hints alone can miss these errors, and shows how Pyrefly detects them early in real-world codebases.
FastAPI Middleware - writing custom middleware functions!
The video shows how to write custom FastAPI middleware to inspect, modify, or block requests before they reach route handlers using the call_next pattern. It also briefly covers built-in middleware for HTTPS redirects, trusted hosts, and GZip compression.
Python Algorithmic Trading Course – Massive, SnapTrade & Alpaca Integrations
This course demonstrates how to build an algorithmic paper trading system using Python and Django to calculate momentum scores and execute trades. The project integrates Massive for market data, SnapTrade for portfolio management, and Alpaca for risk-free brokerage simulation
LangSmith Crash Course: LLMOps in Python
This video serves as a comprehensive crash course on LangSmith, the LangChain ecosystem platform used for tracing, debugging, evaluating, and monitoring AI agents. It covers essential LLMOps workflows including tracing agent runs, performing evaluations with custom datasets, creating alerts, and managing prompts.
👾 Reddits
SQLite in Production: Why WAL Mode, busy_timeout, and 1-Writer Pools
Anyone still using Flask, or has FastAPI completely taken over? 🤔
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