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Human-curated Python news, projects, articles & tools.

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How to Build AI Agents in Python - 3 Ways

This video compares three Python frameworks for building more capable AI agents that can navigate codebases, edit files, and run commands: CrewAI, the OpenAI Agents SDK, and LangGraph. It walks through building an agent with each framework and compares their approaches to orchestration, tools, workflows, and choosing the right framework for a project.

https://www.youtube.com/watch?v=-RTgK6qX6A8
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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.

https://www.youtube.com/watch?v=P3kmo04DiEw
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.

https://github.com/asgeirtj/system_prompts_leaks
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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.

https://ciaren.com/
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livenerf

A long-running, deterministic-as-possible benchmark for detecting whether a frontier model gets quietly worse after launch.

https://github.com/ninjahawk/livenerf
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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

https://www.youtube.com/watch?v=zH2Mg782XhA
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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.

https://www.philipzucker.com/proof_uf/
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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.

https://www.youtube.com/watch?v=lFA-zuZRG4Q
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.

https://adamj.eu/tech/2026/10/01/django-security-txt/
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.

https://magazine.sebastianraschka.com/p/classifier-history-and-jev
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.

https://fsdatalab.github.io/blog/introducing-quail/