The Ultimate Python Unit Testing Course

Explore how hard tests validate a function with varied user inputs—strings, booleans, or no values—and raise an exception when a non-float is passed, ensuring a float return and security.

Explain the challenge of implementing a counter function that takes a name string and returns the link of that name, and build easy, medium, and hard tests to validate behavior.

Demonstrate solving a Python unit testing coding challenge by building a string character counter for English letters and adding tests that raise errors for non letters, spaces, or empty input.

Implement a medium test by setting up a test class, verifying that the add method increments a counter and the remove method decrements it, and confirming all tests pass.

Implement a car class that starts, stops, adjusts speed, and reports current speed and status. Practice robust testing and learn from mistakes to build reliable software.

Explore implementing and testing a Python car class through coding challenge #2, covering start, speed controls, stop, turn off, and exception handling with unit tests.

Learn to test both printed output and return values in Python unit tests by capturing stdout with StringIO, setting up test cases, and asserting exact results.

Implement a solution for a coding challenge by setting up test output capture with sys.stdout and StringIO, using a printer object to set values and verify printed results.

Compare execution times of two functions or programs to identify the faster option or confirm a time-limited task meets its deadline. Ensure better user experience and reliable, timely performance.

Develop two Fibonacci implementations in Python, one recursive and one using a mathematical method, then benchmark their performance with tests to study code efficiency.

Explore a Python unit testing project by comparing two similar methods that subtract two until negative, and write efficiency tests to measure one-line versus two-line implementations, with input validation scenarios.