Unit Testing with Python

This course will help you to write good unit tests for your Python code, using tools such as unittest, doctest and py.test. Unit tests should improve code quality, and also support future development.
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This course will help you to write good unit tests for your Python code, using tools such as unittest, doctest and py.test. Unit tests should improve code quality, and also support future development.
More
This course follows on from the Pluralsight "Python Fundamentals" course, and has more detail about unit testing with Python. We will cover libraries and frameworks such as unittest, doctest and py.test. The aim is to help you to write unit tests that improve code quality, and also support future development. Good unit tests should provide immediate value in terms of reduced debugging and better design, and the investment writing them should pay back over the whole lifetime of your software.
Table of Contents
Description
This course follows on from the Pluralsight "Python Fundamentals" course, and has more detail about unit testing with Python. We will cover libraries and frameworks such as unittest, doctest and py.test. The aim is to help you to write unit tests that improve code quality, and also support future development. Good unit tests should provide immediate value in terms of reduced debugging and better design, and the investment writing them should pay back over the whole lifetime of your software.
Course info
Level
Intermediate
Rating
(172)
Duration
2h 58m
Updated
1 Nov 2013
Course authors

Emily is an experienced software developer specializing in Test Driven Development, agile methods, and automated testing in general. She is a well known speaker, coding dojo facilitator, blogger, and author of "The Coding Dojo Handbook".

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