Master real-world Python testing through 50 hands-on labs: assert, parametrize, fixture, mock, coverage, FastAPI, TDD
What you'll learn
⚡ Understand how pytest discovers tests and write clear, meaningful unit tests on your own using assert, approx, and raises
⚡ Design maintainable, duplication-free tests with parametrize, fixture, and conftest, and manage quality using markers, skips, and coverage
⚡ Replace external dependencies with monkeypatch, the standard mock library, and pytest-mock to write fast, stable tests that never touch the network or a DB
⚡ Experience professional-level testing: FastAPI endpoint tests, async tests withhttpx, snapshot testing, and CI-style one-shot runs
⚡ Practice TDD (test-driven development) hands-on and learn to build code starting from tests written against the specification
Requirements
❗ Basic Python syntax (variables, functions, imports, lists, dicts) is all you need. No prior experience with testing or pytest is required
❗ A PC with an internet connection and a browser is enough. All exercises run on CodeSandbox, so no local environment setup is needed
Description
This course contains the use of artificial intelligence.
This is a hands-on pytest course that lifts your Python code from "it probably works" to "it works, and the tests prove it." It is designed so that people with zero testing experience can move forward one step at a time, starting from their very first `assert`.
The heart of this course is 50 hands-on exercises - you will not just watch. Every lesson follows the same rhythm: a walkthrough video, an exercise you solve yourself, and a review video covering the model answer. Repeating that loop 50 times, writing real code and turning tests green, is how knowledge turns into something your hands remember. Every exercise runs on CodeSandbox in your browser, so there is no painful environment setup. A PC and a browser are all you need to start today.
The content comes in two parts. Part 1 builds the core: how pytest collects tests automatically, the plain `assert` statement, comparing floats with approx, verifying exceptions with raises, data-driven testing with parametrize, sharing setup through fixtures and conftest, markers and skips, and measuring coverage. Part 2 covers what you meet at work: monkeypatch, the standard mock library and pytest-mock, verifying loggers and standard output, file I/O and SQLite, testing FastAPI APIs, async tests withhttpx, snapshot testing, and capstone exercises that keep TDD and CI in mind.
Go from "how am I even supposed to write a test?" to "I can put meaningful tests on my own code with confidence." Let's make testing your ally and become an engineer who writes code that does not break.
Who this course is for
⭐ Python learners and working engineers who can write code but have no idea how to write tests, or who keep putting testing off
⭐ Anyone who knows the words unit test, TDD, mock, coverage, and CI, but wants to learn them systematically by actually writing code
⭐ Web developers using FastAPI who want automated tests for their APIs and logic so they can refactor with confidence


https://rapidgator.net/file/9ed7365fe86764cab7747a0e6a37a656/pytest_Complete_GuidePython_Unit_Testing_with_50_Exercises.part1.rar.html
https://rapidgator.net/file/f636227710bc5f09371a9e00214bf576/pytest_Complete_GuidePython_Unit_Testing_with_50_Exercises.part2.rar.html
https://rapidgator.net/file/87d411daf077a4253c795554738a3992/pytest_Complete_GuidePython_Unit_Testing_with_50_Exercises.part3.rar.html