A plea for personal sites to add RSS feeds, with a Django tutorial and reasons why RSS matters for content discovery in 2026.
Tutorial on building an AI agent with Pydantic AI to generate cold emails based on company websites.
Calculating the expected range of normal samples using Python and numerical integration.
DeepSeek Sparse Attention implementation from scratch, featuring a learned sparse pattern replacing fixed attention with a lightweight indexer and selector.
Explains DeepSeek Sparse Attention implementation from scratch, replacing fixed sparse patterns with learned ones using a lightweight indexer.
Explores building complex functions from real parts, focusing on inverse trig functions, branch cuts, and verifying equations with Python.
Explores couth and uncouth function pairs in trigonometry and hyperbolic functions, focusing on inversion and Python's NumPy library.
A personal recap of PyCon US 2026 in Long Beach, with live posts, talks, and hallway conversations.
A personal recap of PyCon US 2026, highlighting Python community events, talks, and JetBrains' presence at the conference.
Strategies to mitigate supply-chain attacks on Python dependencies, including dependency cooldowns and package manager configurations.
A personal project using LLM-assisted coding to create a seasons time-lapse video from photos taken during runs, with a Python-based image processing pipeline.
Final chapter of SQLAlchemy 2 in Practice book covering integration with Flask and FastAPI for web applications.
Guide to deploying an ADK agent to Agent Platform using a Python script and configuring environment variables.
Analysis of AI-assisted contributions in open source, focusing on maintainer load and governance challenges in Django, Python, GNOME, and OCaml.
A talk on implementing LLM architectures from scratch in Python and PyTorch, covering workflow for analyzing new models.
A talk on implementing LLM architectures from scratch in Python and PyTorch, focusing on tracing design changes in open-weight models.
A guide on using AI to rewrite Python code to Rust, covering testing, contract tests, Rust implementation, and property-based testing.
Using property-based testing with Hypothesis to ensure Python and Rust LogParser implementations produce identical outputs.
Explores the Euler function and its connection to the probability of random matrices being invertible over finite fields.
Explores dependent type theory semantics using Python frozensets, emphasizing the concept of 'family' as set-valued functions and judgements as mappings.
