Hands-On Automated Software Testing In Python (w/ unittest)

An In-depth practical guide to automated unit and integration testing in Python with real-world case scenarios.

Created by: Ahmed Alhallag
Assistant Lecturer in Computing School, Coventry University

What Will I Learn?

• Analyze existing code bases (& refactor them if needed), and design the needed test cases accordingly.
• Perform automated unit and integration tests on Procedural code and Object Oriented code.
• Learn how to perform Test Driven Development (TDD)
• Perform test coverage and run multiple tests simultaneously.
• Learn how to deal with boiler-plate code and pass-through methods/functions.
• Utilize Pdb (Interactive Python Debugger) on run-time to inspect different test cases.
• Learn how to effectively create mocks and patches, and when to do it based on various case scenarios,
• Know how to fake/sample real-world data.
• Gain a sneak-peak on best practices in OOA, OOD & OOP by implementing UML design schemes from scratch and write tests for the code base you created later on.
• Learn how to deal with files processing and operations (read, write, stdout functions, etc..)

Requirements

• Fair background in Python is a must.
• Fair background in OOP in Python (specifically classes & object creation, classmethods, staticmethods, getters & setters).
• Fair knowledge in UML class diagrams and it's relationships. (association, aggregation, composition)
• Fair knowledge of Jupyter Notebooks.

Target audience

• Python developers who have some background in Python and want to dive in the software testing world.
• CS/CE students in their first or second year who just got to read about software testing and TDD.