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Further Learning

This page gives you a clear path to keep learning after this guide.

Official Sources

Start with official documentation first:

Learning Path (12 Weeks)

Weeks 1-2: Python Core

  • Re-read fundamentals: data types, loops, functions, modules
  • Solve small algorithm tasks every day
  • Write code with type hints from the start

Weeks 3-4: OOP and Error Handling

  • Build small classes (API client, logger wrapper, config loader)
  • Practice custom exceptions
  • Add logs with DEBUG, INFO, WARNING, ERROR

Weeks 5-6: pytest Deep Practice

  • Write unit tests for every new function
  • Use fixtures and parametrize
  • Learn mocking with pytest-mock
  • Keep coverage at 100%

Weeks 7-8: API Automation

  • Build reusable API client classes
  • Add response schema validation with Pydantic
  • Test positive and negative scenarios

Weeks 9-10: UI Automation

  • Build Page Object Model with Playwright
  • Use stable selectors (data-testid)
  • Practice wait strategies to avoid flaky tests

Weeks 11-12: Quality and CI/CD

  • Configure Ruff and mypy in strict mode
  • Add pre-commit hooks
  • Build CI pipeline with all checks
  • Publish test and coverage reports

Practice Checklist

Use this checklist every week:

  • [ ] I solved at least 10 Python exercises
  • [ ] I wrote tests for all new code
  • [ ] I ran lint + type checks locally
  • [ ] I reviewed one flaky test and improved it
  • [ ] I read one official doc chapter
  • [ ] I updated one example in my knowledge base

What to Build Next

Build mini-projects to grow faster:

  1. API Test Framework (pytest + requests + pydantic)
  2. UI Test Framework (pytest + Playwright + POM)
  3. Shared Utility Package (logging, config, retry, assertions)
  4. CI/CD Template Project with quality gates

Interview Growth Plan

Every week:

  • Practice 3 Python coding tasks
  • Explain one design decision out loud (why this pattern, why this tool)
  • Review one failure from your real tests and explain root cause
  • Prepare one STAR story about automation impact

Keep Your Knowledge Base Fresh

Update this guide monthly:

  • Add one new practical example per section
  • Remove outdated tools or syntax
  • Record mistakes from real projects and how you fixed them
  • Add new interview questions you faced

Final Advice

Consistency is more important than speed.

If you learn and practice a little every day, your Python automation skills will grow steadily and stay strong.