Pytest Pt1 - Fundamentals for Data Engineers

📰 Dev.to · Felipe de Godoy

Learn Pytest fundamentals for data engineering to ensure reliable and efficient data pipelines

intermediate Published 9 Jul 2026
Action Steps
  1. Install Pytest using pip by running 'pip install pytest' to get started with testing
  2. Write your first test using Pytest by creating a test function that starts with 'test_'
  3. Configure Pytest to run your tests by creating a 'pytest.ini' file
  4. Run your tests using 'pytest' command to identify and fix errors
  5. Apply testing principles to your data engineering code to ensure reliability and efficiency
Who Needs to Know This

Data engineers and software engineers working on data pipelines can benefit from using Pytest to write tests and ensure data quality

Key Insight

💡 Pytest is a powerful testing framework that can help data engineers write reliable and efficient data pipelines

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🚀 Boost data pipeline reliability with Pytest! 🚀

Key Takeaways

Learn Pytest fundamentals for data engineering to ensure reliable and efficient data pipelines

Full Article

Pytest Fundamentals for Data Engineers Data engineering code is still software, and...
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