Micro Free Course — 100% Free Learning
All lessons in this module are free to learn. Sign in with Google to save your progress.
Modern Python Foundations
From python-for-software-engineers, ordered for DE.
Module Content
Type Hints & Static Checking
The single biggest production-quality lever for Python in 2026. Add types incrementally; let Pyright catch bugs before they ship. FIND_VIDEO: search 'python type hints mypy pyright tutorial' — recommended channel: ArjanCodes / mCoding. Aim for 11 min or under.
Quiz: Pyright/mypy Patterns and Gradual Typing
The type hint syntax that matters in practice, how to add types to existing code, and what gradual typing gives you.
Data Classes & Pydantic
Three ways to model data. dataclass for plain objects, Pydantic for validated boundaries, NamedTuple for immutable tuples-with-names. FIND_VIDEO: search 'python dataclass vs pydantic vs namedtuple' — recommended channel: ArjanCodes / mCoding. Aim for 10 min or under.
Quiz: Choosing dataclass vs Pydantic vs NamedTuple
The trade-offs of each: mutability, validation, performance, API stability.
Project Structure & Packaging
Modern Python projects: src layout, pyproject.toml, uv. The 2026 way to organize code that ships. FIND_VIDEO: search 'python project structure pyproject toml uv' — recommended channel: ArjanCodes / mCoding. Aim for 10 min or under.
Quiz: pyproject.toml, src Layout, and Modern Packaging
The src layout, pyproject.toml as the single source of config, and the 2026 tooling landscape (uv, hatch, poetry).
Virtual Envs & Dependency Management
Isolate per-project dependencies. The 2026 tooling: uv (recommended), poetry, pip-tools, venv. How they differ. FIND_VIDEO: search 'python virtual environment uv poetry pip-tools' — recommended channel: ArjanCodes / Real Python. Aim for 9 min or under.
Quiz: uv, Poetry, pip-tools Compared
The pros and cons of each, when to choose what, and the migration paths between them.
Build 1 — CLI Tool (Typer + tests + package + publish)
A complete Python CLI tool: pyproject.toml, Typer commands, pytest tests, packaging, publish to PyPI Test.
OOP for Pipeline Builders: Classes Where They Earn Their Keep
When a class helps a data pipeline (stateful sources, clients, testability) and when a plain function wins. Ends with a retrying API source you will recognise from Week 4 ingestion.