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Explore the world of property-based testing in this comprehensive tutorial from PyCon US. Learn how to leverage Hypothesis, a powerful Python library, to write more robust and effective tests. Discover techniques for identifying and enforcing code properties, and gain hands-on experience in uncovering real bugs. Move beyond traditional example-based testing to a more generalized approach where you define input types and expected behaviors, allowing Hypothesis to generate diverse test scenarios. Suitable for Python developers familiar with unit testing, this tutorial will equip you with the skills to write more efficient and thorough tests, potentially catching edge cases and bugs that might otherwise go unnoticed. Access the accompanying slides for additional reference and dive into practical examples that demonstrate the power of property-based testing in Python.
