Python script to generate test data can be created using libraries like random and faker. The random library helps in generating random numbers, strings, and other values, while the faker library creates fake data like names, addresses, emails, etc. You can decide the structure of your data and then use these libraries to create a range of test cases. For example, if you need mock user data, you can use faker to generate names, emails, and addresses, and random to create ages and other numerical values. This script can be handy for testing software with various types of data without using real sensitive information.