Mastering Python Data Structures For Efficient Test Automation
Mastering Python data structures for scalable test automation! Learn how to use lists, dictionaries, sets, tuples & nested structures to efficiently manage & access test data. Get ready for the next module on Functions & Modules!
Introduction
Organizing test data is critical for building scalable test automation frameworks. This module introduces key Python data structures—lists, dictionaries, sets, and tuples—and how to use them in test automation.
Lesson 1: Lists in Python
Concept:
Lists are ordered, mutable collections used to manage sequences of test data.
Key Topics:
Creating Lists: Using brackets []
Indexing and Slicing: Accessing elements and subsets.
Modifying Lists: Adding, removing, sorting elements.
Example:
test_cases = ["Login", "Signup", "Checkout"]
test_cases.append("Password Reset")
print...