Modern Python Tooling in 2026: Package Managers, Type Checkers, and Speed
A complete guide to modern Python tooling in 2026: uv, Poetry, and pip; mypy, Pyright, ty, and Pyrefly; plus free-threading, t-strings, and Polars vs Pandas.
Python
msgspec vs Pydantic v2: When the Speed Gap Pays Off
msgspec vs Pydantic v2 in 2026: real code, reported benchmark numbers, where the speed gap actually shows up in a Python API, and how to run both together.
Django-Bolt Review: Rust-Powered Django, FastAPI Speed
Django-Bolt puts Actix and Rust under Django to hit 188K RPS. I dug through the source and benchmarks — where it beats FastAPI, and where the speed evaporates.
Python 3.15: Lazy Imports, frozendict, and Faster Startup
Python 3.15 lands lazy imports, a frozendict builtin, unpacking in comprehensions, and the Tachyon sampling profiler. Here's what changed and what to test.
FastAPI vs Litestar vs Django Ninja: 2026 Verdict
FastAPI vs Litestar vs Django Ninja in 2026: real code, serialization speed, dependency injection, and a clear pick for every kind of Python API project.
DuckDB vs Polars in 2026: Which One for Your Data Pipeline?
DuckDB vs Polars for data engineering in 2026: benchmarks, memory usage, SQL vs DataFrame ergonomics, and when to reach for each. Real numbers, honest verdict.
Mem0 vs Cognee vs Letta: Which AI Agent Memory Actually Sticks?
Mem0 adds drop-in memory in 5 lines. Cognee builds a knowledge graph. Letta makes the agent its own memory. Tested all three — here's which fits your stack.
Mistral OCR 4 Tutorial: Build a Document Pipeline in Python
Extract text, tables, and structured JSON from PDFs using Mistral OCR 4 in Python. Bounding boxes, confidence scores, and a complete invoice pipeline.
LiteLLM Vulnerability: 6 CVEs, a Supply Chain Attack, and the Fixes
LiteLLM has been hit by RCE, SQL injection, privilege escalation, and a PyPI supply chain attack in 2026. Here's every CVE, who's affected, and how to fix it.
uv Python Tutorial: Build a CLI Tool From Scratch
Step-by-step uv tutorial: create a real Python CLI project, manage deps, run tests, lint with ruff, build a wheel, and ship it in Docker — from scratch.