Python Guide for Automation QA
A complete, practical Python guide for Automation QA Engineers (Middle level).
This guide covers Python from environment setup to advanced topics. Every section has clear examples and best practices for test automation.
What You Will Learn
| Section | Topics |
|---|---|
| Setup & Fundamentals | Environment setup with uv, data types, variables, control flow, data structures, functions |
| OOP & Error Handling | Classes, inheritance, composition, exceptions, logging, files |
| Testing with pytest | Test fundamentals, fixtures, parametrization, assertions, mocking, test architecture |
| Automation | API testing, UI automation, design patterns |
| Code Quality & CI/CD | Linters, formatters, type checkers, pipelines |
| Advanced Topics | Decorators, generators, context managers, async, performance |
| Best Practices | Security, common pitfalls, interview preparation, recommended stack, further learning |
Recommended Stack
| Area | Tool |
|---|---|
| Runtime | Python 3.12+ |
| Package Manager | uv |
| Testing | pytest |
| API Testing | requests, httpx, pydantic |
| UI Testing | playwright (preferred), selenium (legacy) |
| Linting | ruff, mypy |
| CI/CD | GitHub Actions, GitLab CI |
How to Use This Guide
- Start from Setup & Fundamentals if you are new to Python
- Jump to Testing with pytest if you already know Python basics
- Use Best Practices section as a reference before interviews
- Each section is independent — you can read them in any order