Python structlog: Structured JSON Logging
Emit searchable JSON events, bind request context, and keep credentials and personal data out of your logs.
Clean code, automated testing, and design patterns
Emit searchable JSON events, bind request context, and keep credentials and personal data out of your logs.
Retry transient failures with explicit limits, randomized waits, observability, and fast deterministic tests.
Turn annotated functions into a maintainable CLI with generated help, validation, subcommands, and focused tests.
Automate fast checks before each commit with pinned pre-commit hooks and the same validation in CI.
Centralize application configuration with pydantic-settings and fail early when required environment values are missing.
Define lightweight contracts with typing.Protocol and accept compatible objects without requiring explicit inheritance.
Coordinate related tasks with asyncio.TaskGroup while understanding results, failures, cancellation, and gather.
Build clearer tests with fixtures, temporary files, and monkeypatch without testing mocks instead of behavior.
Use Ruff for linting, import sorting, and formatting with a small configuration and predictable CI checks.
Set up a Python project with uv, a virtual environment, pyproject.toml, and a reproducible lockfile while understanding what changes from pip.
Build lean Python documentation with Sphinx, autodoc, docstrings, and type hints, then generate HTML and automate publishing without needless complexity.
Use Hypothesis with pytest to generate inputs, check invariants, shrink failures, and uncover edge cases that hand-written examples miss.