Best Practices

Learn how to read TOML with Python tomllib, validate settings, handle parse errors, and organize projects with pyproject.toml.

Build practical Python observability with structlog, JSON events, request context, tests, performance controls, and deployment guidance.

Learn how to validate environment variables, manage secrets, and organize Python application settings with Pydantic Settings.

Learn Ruff for Python linting, formatting, automatic fixes, pyproject.toml, VS Code and CI with a practical project configuration.

Learn Python comments with single-line and inline examples, block explanations, TODO notes, docstrings, security and performance context, review standards, and

Learn Python docstrings for functions, classes, methods, modules, parameters, returns, exceptions, examples, pydoc, conventions, and documentation tools.

Learn PEP 8 in Python with naming, indentation, line length, imports, whitespace, comments, functions, classes, tools, exceptions, and practical refactoring.

Learn Python logging from scratch: levels, files, formatters, exceptions, handlers, rotation, and practical examples for reliable applications.