Why Should You Choose Selenium With Python Automation Testing?

Concerning automating test cases, the toughest choice that one needs to make is to choose the programming language, which offers the best support to test automation. Some of the most projecting languages used with the Selenium test automation framework are Java, Python, Ruby, C#, etc. But Python test automation is used widely by QAs all around the world, mainly with Selenium WebDriver.

This article mentions some of the reasons why Selenium with Python automation testing is a good combination.

1. Python is easily readable and has less verbose: The majority of the users agree that Python is one of the most popular programming languages for the ease of reading and coding. Compared to other programming languages, used for Selenium test automation, Python is easy to read and has less verbose.
2. There is a comprehensive list of test automation frameworks in Python: Unit test or PyUnit is the main Python test framework. Apart from this framework, Python also supports several frameworks for test automation with Python, which are Behave, PyTest, Lettuce, Robot, Testify, and Nose2. Some of these frameworks are used to perform integration, automated unit, and system testing.
3. Python offers super easy parallel testing: In Selenium, parallel testing is extensively used for automation testing around various combinations of platforms and browsers in a speeded way. These programming languages offer support to parallel testing with the Selenium test framework, but it is very easy to use in Python. The same standard for parallel testing is also applicable to other test frameworks of Python like Behave, Nose2, Lettuce, etc. On the contrary, allowing parallel testing with Selenium C#, Selenium Java or any other combinations need code changes. And this also includes more steps than Python.
4. Python is a multi-paradigm programming language: Being a multi-paradigm programming language, Python offers full-fledged support for structured programming and object-oriented programming. Besides, most features in Python also offer support to aspect-oriented programming and functional programming.
5. Python comes with easily installable packages: Python includes PIP, which is the regular package management system. And installing an original package with PIP never requires downloading this package. The PIP installation command searches for the necessary package in PyPI, searches for the dependencies, and installs the required packages to make sure that the request for installation can be served without hassles. Unlike other programming languages, Python also allows the test automation engineers to decide the functions or classes to be used for Selenium test automation.
6. Python includes dynamic typing: Python uses dynamic typing and late binding feature, which can bind the variable names and methods during execution. This feature is very important for Python test automation. Python also includes the options like Mypy and Pyre, which are famous static checkers. With these checkers, Python allows the users to combine the strength of static and dynamic typing.
7. Python includes a complete range of IDEs: PyCharm is the preferred IDE for test automation with Python as this can be used easily regardless of the use of a framework, which allows for Selenium test automation. Besides, there is the option for using Notepad++, Visual Studio Code, and GVim for fast editing, mainly if the scenarios of Python test automation are not that complex.
8. Python is suitable for both large and small-scale projects: Python includes a comprehensive standard library. Besides, the object-oriented and language-constructs approach of this language assists the programmers to come up with simple code, which performs the intended job. So, it is simple to start with automation testing with the help of Python because of the low entry barrier as long as the programming language is concerned.
9. Python offers hassle-free and powerful reporting: Reporting works as a major factor for Selenium test automation, as the reports offer better visibility into the process of automation testing. The powerful reports, which offer proper information understandably and concisely, can be sent to the needed stakeholders so that they learn about the advancement on the testing front. Incorporating reports with Selenium test automation with PyTest can be performed by using the PyTest HTML package. Here the generated test reports offer visual content required for informal comparison. With cloud Selenium Grid APIs like LambdaTest, it is also possible to develop a more challenging reporting strategy for the same.