Why Use Pytest?
Pytest is one of the best tools for running your automated test suite in Python for several reasons, not the least of which being its large and helpful community. Pytest’s features and philosophy are designed to improve the developer experience with software testing. The authors of Pytest accomplished this goal in part by drastically cutting the amount of code needed to complete routine operations and enabling the execution of complex tasks using numerous commands and plug-ins. In this article, we have discussed why to use Pytest; join Pytest Online Training offered by FITA Academy to know more.
Given that Pytest is arguably the most popular Python testing framework available, a sizable community is available to help you when you run into difficulties. With the help of this open-source framework, developers may create short, straightforward test suites that cover API, functional, and unit testing.
Additional justifications for utilising Pytest are as follows:
Easy to learn
Pytest is simple; if you know how Python’s assert keyword operates, you will have no trouble getting the hang of the framework. Although you can use a class to organise many tests, pytest tests are Python functions with “test_” or “_test” attached to the function name. Compared to tools like unittest, the learning curve for pytest is generally much smaller because it doesn’t require you to pick up any new concepts.
Test filtering
As the size of your test suite increases, you might decide only to execute some tests on some runs. Occasionally, you might want to run the entire suite of tests once you’re sure everything is going according to plan, then isolate a few tests on a new feature to receive quick feedback as you’re creating.
Pytest offers three methods for isolating tests:
1) Name-based filtering instructs Pytest to execute only those tests whose names correspond to the given pattern.
2) test classification, which lets you specify which tests pytest should include or exclude, and 3) directory scoping, which is pytest’s default configuration that instructs it only to run tests that are in or beneath the current directory.
Parameterization
An argument for a test function can be parametrized using Pytest’s built-in decorator parametrize. Therefore, you do not need to create multiple identical tests if the functions you are testing process data or carry out a general transformation.
Thus, some of the reasons why using pytest is Easy to learn, test filtering and Parameterization.
