Automated Software Testing with Python

Fear not though, after going through this course, you'll be able to take your new testing knowledge and apply it to any project, even non-web projects!

What will you work with?

This course is jam-packed with all the latest technologies for you to use professionally and in personal projects:

• The unittest library, Python's standard automated software testing library;

• Mocking and patching, two essential tools to reduce dependencies when testing;

• unit, integration, system, and acceptance testing—all types of testing to have you fully covered;

• Postman for easy collaboration and testing while developing;

• Selenium WebDriver for automated browser tests;

• Git and Travis for continuous integration of your project.

Fundamental Software Testing Skills

We will cover every fundamental software testing skill that you need to know in order to get a job testing or to apply these skills in your existing projects.

From things like mocking and patching using the unittest library, which reduce dependencies and turn complex tests to simple ones; to looking at all types of testing: simple unit tests to large system tests and even customer acceptance tests.

The Testing Pyramid

The Testing Pyramid says you should have a lot of unit tests, slightly fewer integration tests, even fewer system tests, and as few acceptance tests as possible.

Throughout the course we work on this concept, making sure that we have full coverage of every component of our system with unit tests. Then we test the dependencies using integration tests. Finally, we cover the entire system and its assumptions using system tests. Of course, we'll also look at what acceptance testing is, how we come up with acceptance tests, and some of the best ways to write acceptance tests for a web application using Behavior-Driven Development and Selenium WebDriver.

Automated Browser Testing with Selenium WebDriver

Selenium WebDriver is extremely powerful, particularly when coupled with the efficient and tried-and-tested approach recommended in this course. We'll design our acceptance tests professionally—just the way you'd do at a software testing job. We'll use page models, locators, and step definitions to structure the automated tests in a reusable way. The customers will be able to come up with acceptance tests that you can easily translate to code.

We'll also learn about implicit and explicit waits with Selenium WebDriver and Python, a key concept to speed up the runtime of your acceptance tests.

Continuous Integration

We also cover how you can take automated testing much further in your projects.

By implementing a Continuous Integration pipeline that runs your tests whenever you make any changes, you'll have much higher quality in your projects and not let any pesky bugs pass you by. We'll look at putting our projects in GitHub and liking the CI pipeline with them.