Explain Data Driven Testing in Python — 3 Approaches and When to Use Each

Most candidates only know parametrize. Senior engineers know three approaches and can explain exactly when to use each one.

✅ pytest.mark.parametrize — when and how
✅ Excel with openpyxl — for non-technical teams
✅ CSV and JSON — for large datasets and CI
✅ The golden rule about external test data
✅ Sensitive data handling with environment variables

💬 Comment DDT — I will send you code examples for all 3

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Видео Explain Data Driven Testing in Python — 3 Approaches and When to Use Each канала Sreenidhi Rajakrishnan