Adventures in Not Writing Tests - Using Hypothesis for Code Validation
Offered By: EuroPython Conference via YouTube
Course Description
Overview
Explore the challenges of maintaining code that unexpectedly becomes production-critical in this 30-minute conference talk from EuroPython 2024. Dive into the world of Hypothesis, a Python library for generating diverse test inputs, and learn how it can help ensure the reliability of evolving data analysis code. Discover the benefits of Hypothesis's Ghostwriting feature, which leverages type hints to automatically generate tests, saving time and validating code structure. Gain insights into the process of enhancing ghostwritten tests to thoroughly examine both inputs and outputs, ultimately improving the robustness of your analytical code that may transition from one-off scripts to mission-critical applications.
Syllabus
Adventures in not writing tests — Andy Fundinger
Taught by
EuroPython Conference
Related Courses
Automated Software Testing: Model and State-based TestingDelft University of Technology via edX F#: Automated Testing for Developers
LinkedIn Learning Writing Tests with F#
Microsoft via YouTube Functions and Determinism in Property-based Testing - Lecture 9
ChariotSolutions via YouTube The Lazy Programmer's Guide to Writing Thousands of Tests
NDC Conferences via YouTube