Master code coverage at engineering depth - line vs branch vs condition coverage, coverage.py internals with sys.settrace, pytest-cov, .coveragerc configuration, pragma no cover, coverage in CI, and mutation testing with mutmut to find tests that pass but don't catch bugs.
Ports and Adapters - structuring Python applications so business logic is independent of frameworks, databases, and external services.
Master Python code quality tooling at engineering depth - Ruff's rule categories, Black's opinionated formatting, isort profiles, mypy static type checking, pyproject.toml configuration, and how to wire all tools into a coherent developer workflow.
Master Python mocking at engineering depth - the golden patching rule, Mock vs MagicMock, patch as decorator and context manager, autospec, side_effect, AsyncMock, pytest-mock, and the typo that silently passes your tests.
Build production-grade test suites at engineering depth - unittest, pytest, mocking, TDD, code coverage, linting, and pre-commit hooks that enforce quality at every commit.
Overview of the two hands-on engineering projects for the Testing and Quality module - a full pytest suite for a banking system and a complete CI quality pipeline setup.
Master the pre-commit framework at engineering depth - Git hook mechanics, .pre-commit-config.yaml structure, building production hook pipelines with ruff, black, mypy, detect-secrets, and pytest, CI integration, team adoption strategy, and hook performance tuning.
Build a production-quality pytest test suite for the BankAccount and SavingsAccount system - fixtures, parametrized edge cases, mocked external dependencies, integration tests, Hypothesis property-based tests, and 90% branch coverage enforcement.
Configure a complete Python quality pipeline from scratch - pre-commit hooks, pyproject.toml tool configuration, GitLab CI four-stage pipeline, tox/nox multi-version testing, Makefile targets, coverage gate, and JUnit test report artifacts.
Master pytest at full engineering depth - assertion rewriting via AST transformation, fixtures with scope, conftest.py, parametrize, monkeypatch, capsys, built-in marks, essential plugins, and pyproject.toml configuration for production test suites.
Solve 11 Python code coverage problems (4 Easy, 4 Medium, 3 Hard). Practice coverage.py exercises, branch coverage with hints, runnable code, and solutions.
Solve 11 Python linting and formatting problems. Covers linting practice, formatting exercises, flake8 problems. Hints and solutions.
Solve 11 Python mocking and test doubles problems. Covers mocking practice, unittest mock, mock patch. Hints and solutions.
Solve 11 Python pre-commit hooks problems. Covers pre-commit config, git hooks, pre-commit tutorial. Hints and solutions.
Solve 11 Python pytest framework problems. Covers pytest practice, pytest exercises, pytest problems. Hints and solutions.
Solve 11 Python tdd principles problems. Covers TDD practice, test driven, red green, TDD tutorial. Hints and solutions.
Solve 11 Python unittest framework problems (4 Easy, 4 Medium, 3 Hard). Practice unittest practice, unittest exercises with hints, runnable code, and solutions.
Master Test-Driven Development at engineering depth - the Red-Green-Refactor cycle, the three laws of TDD, worked BankAccount example, test naming, the test pyramid, London vs Detroit schools, and when TDD surfaces design problems before production.
Master Python's unittest framework at engineering depth - TestCase lifecycle, all assertion methods, assertRaises as context manager, setUp/tearDown/setUpClass, unittest.mock.patch, TestSuite, skip decorators, and subtests for parametrised testing.
