Building a Python Cake: Testing The Layers of Your Application
Matthew Behrens | Saturday 12:00 | Room B
Testing is a best practice for delivering reliable software, but it can be a hard subject when starting out. What should you test and why? How much testing is enough? So you spent three days and wrote out tests for everything in your module, but was that an effective use of your time? This talk will give an overview of the different layers that you can write tests for and why you should have them. You start with unit tests, mix in some integration tests, and cover with acceptance tests. Sprinkle with specific testing tools to taste. Tools we’ll discuss include py.test, docker, behave, tox, and coverage. Although the talk focus will be on web apps, the ideas will be relevant to all Python applications. Writing quality tests is important: flaky tests will cost more time than they save and filler tests that don’t test important areas will weigh you down over time. With stable and effective tests for all layers, you build code you can trust, that you can refactor quickly or change easily without breaking everything. It’s as easy as cake!