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Pytest. Pytest is a Python testing framework that originated from the PyPy project. It can be used to write various types of software tests, including unit tests, integration tests, end-to-end tests, and functional tests. Its features include parametrized testing, fixtures, and assert re-writing.
Python. PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time. Pylint – Static code analyzer.
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [71] and metaobjects ). [72] Many other paradigms are supported via extensions, including design by ...
Unit testing is the cornerstone of extreme programming, which relies on an automated unit testing framework. This automated unit testing framework can be either third party, e.g., xUnit, or created within the development group. Extreme programming uses the creation of unit tests for test-driven development.
LeetCode, LLC d/b/a LeetCode is an online platform for coding interview preparation. The service provides coding and algorithmic problems intended for users to practice coding.
doctest. doctest is a module included in the Python programming language's standard library that allows the easy generation of tests based on output from the standard Python interpreter shell, cut and pasted into docstrings .
Selenium (software) Selenium is an open source umbrella project for a range of tools and libraries aimed at supporting browser automation. [3] It provides a playback tool for authoring functional tests across most modern web browsers, without the need to learn a test scripting language (Selenium IDE). [4]
Its use began to become popular in the Python community from around 2015. tox acts a wrapper for both virtual environments and test automation tools, to simplify the consistent testing of Python code across a range of environments. It integrates the use of a virtualisation tool, such as virtualenv, with a test script such as Imprimatur.