Django Best Practices (2026)
Version-specific Django 5.2/6.0 gotchas: verified CVEs, ORM traps that survive select_related/prefetch_related, signal/transaction race conditions, and decision rules for Ninja vs DRF vs FastAPI.
Version-specific Django 5.2/6.0 gotchas: verified CVEs, ORM traps that survive select_related/prefetch_related, signal/transaction race conditions, and decision rules for Ninja vs DRF vs FastAPI.
Version-specific FastAPI/Pydantic v2 gotchas: verified current releases, yield-dependency cleanup timing, BackgroundTasks/middleware footguns, threadpool starvation, and Pydantic v2 union-resolution traps - with sources.
Modern Python style guidance for 2026: PEP 8 fundamentals, Ruff configuration and rule selection, naming conventions, PEP 604/695 type hint style, and docstring conventions for maintainable, agent-readable code.
Practical guidance on asyncio fundamentals and task groups, threading vs multiprocessing, the GIL, the status of free-threaded CPython (3.13/3.14), and a decision framework for choosing async, threads, or processes.
Language-level Python best practices covering error handling, context managers, data modeling choices (dataclasses vs Pydantic vs dicts), logging, pathlib, and structural pattern matching for maintainable production code...
Verified current CPython/tooling status for 2026: 3.14 free-threading now officially supported (PEP 779), the JIT compiler's process crisis (PEP 836), and the uv/Ruff/ty toolchain that has displaced pip/Black/flake8/mypy...
A practical guide to Python performance work: profiling with py-spy, Scalene, and cProfile; common bottlenecks; compilation options (mypyc, Cython, Nuitka, PyPy); and caching strategies from functools.cache to external c...
Guidance on src-layout vs flat-layout, pyproject.toml anatomy, dependency groups (PEP 735), monorepo vs polyrepo trade-offs, and uv workspace support for structuring Python projects at any scale.
A practical guide to the modern pytest ecosystem: fixtures and scoping, parametrization, coverage.py, Hypothesis property-based testing, pytest-xdist parallelism, and pytest-mock for maintainable, fast test suites.