pytest

When we write tests for code, we’re often faced with repeating the same tests multiple times, just with different inputs and expected results. Writing separate tests each time makes our test suites bulky, hard to maintain, and prone to errors. This is where parametrized tests – also known as data-driven testing – come to your […]

When working with automated testing in Python, PyTest is one of the most popular and powerful testing frameworks. However, in real-world scenarios, tests can sometimes fail due to transient issues—network latency, database unavailability, or even slight timing mismatches. Manually rerunning failed test cases is time-consuming and inefficient. Fortunately, PyTest provides built-in capabilities to automatically rerun

When working with pytest, organizing and grouping test cases efficiently can make test execution smoother and debugging much easier. Pytest offers various ways to categorize and run tests selectively, whether you’re dealing with unit tests, integration tests, or end-to-end scenarios. This article explores multiple ways to group test cases in pytest and how to execute

If you’re new to Python testing, you’ve probably heard of Pytest – a lightweight and powerful testing framework that makes writing and running tests simple and enjoyable. Whether you’re a developer ensuring code quality or diving into automated testing, Pytest is a fantastic choice. In this post, we’ll walk you through running your first test