Automation testing has become an integral part of the product development cycle to test the usability in line with expectations. Automation testing is a great help to reduce the workload of backend and full stack developers; they can be sure of delivering the right product as per users’ expectations and intended use. A range of languages and platforms are used for automation testing of developed apps and other business solutions. However, Python automation testing is the top choice of software developers, app development companies, and product owners.
When it comes to automating test cases, selecting the programming language that provides good support for automation testing is a critical task. Python, Java, C#, Ruby, etc. are prominent languages that are typically used for automation testing. However, automation testing using Python has been a preferred choice of automation testers. The following six benefits make Python modules the best choice for software test automation -
A library enriched with useful ready-to-use ingredients and packages facilitates testing with Python.
The Zen of Python is a collection of principles to guide for Python test automation. It reminds the developers about the basic rules to make automated testing scripts efficient. The Zen of Python never lets the developers forget the basics for automation testing.
Python is an object-oriented and functional language that allows developers to choose what suits them the best. A simple syntax makes the distributed functions easy to read.
The scalability, achieved through syntax, modularity, vast ecosystem of tools, and superb structure, makes Python a great choice for beginners and experienced software testers.
Python automation testing supports exploratory testing. Command Line drives the entire automation testing workflow. Exploratory Data Analysis (EDA) in Python is a crucial step before heading towards machine learning or data modeling. EDA provides many plots, frequency distribution, heat-maps, correlation matrix, graphs, etc to ensure the quality of the development process.
Command Line drives the entire workflow of test automation. The test frameworks can launch a console for searching and conducting tests. The command line supports and simplifies the entire test management.
Full stack and backend developers love Python for automation testing because it offers great flexibility and they have a choice to choose the best suitable python module/ tool. The eight most used Python modules for automation testing are-
Robot Framework: It uses a keyword-driven approach. The open source software, released under the Apache License 2.0, Robot Framework can be used for automation testing of Android apps, MongoDB, FTP, Appium, mainframe, etc. It can be used in distributed and heterogeneous environments. Benefits of using Robot Framework for Python automation testing are detailed at- https://robotframework.org/robotframework/latest/RobotFrameworkUserGuide.html#why-robot-framework
PyTest: It is very concise; developers can focus on testing better; PyTest allows writing other functions also. Pytest is a great framework for automation testing with unique capabilities to handle any automated functional test, whether; it is unit testing, integration testing, or end-to-end testing. Pytest framework simplifies to write readable small tests; It supports complex functional testing also for different applications and libraries. You can download Pytest from- https://docs.pytest.org/en/7.0.x/getting-started.html#install-pytest
Splinter: It is a wrapper-type library designed for Selenium in Python. Splinter is a good choice to test web applications as it allows automating browser’s actions. Its high-level API makes it easy to write for automated web-app testing. Splinter allows the use of the same test code for browser-based Selenium driven testing. Here is the installation link for Splinter- https://splinter.readthedocs.io/en/latest/install.html#install-splinter
Selenium: It is a popular Functional Python test automation tool. The automation testers use it for browser-based automation testing. It basically has four different tools: Selenium RC, Selenium IDE, Selenium Grid, and Selenium WebDriver.
Pywinauto: It is a good choice for non-browser-based function automation testing. Pywinauto is a set of tools for Windows GUI automation. Run pip install pywinauto to install pywinauto. The latest pywinauto can be downloaded from- https://github.com/pywinauto/pywinauto/releases
PDFMiner: It is good to conduct a series of tests on PDF files. It is empowered by a library having text extraction tools. Pdfminer.six is loved by global automation testers because it parses all the objects of a PDF document into Python objects; also, it analyzes and groups the text in the human-readable manner. Download link for Pdfminer.six is- https://euske.github.io/pdfminer/#download
Locust: Designed with a web-based user interface, Locust is good for load testing. It supports load tests over multiple machines. The scriptable & scalable performance testing Python tool shows the test progress in real-time. Locust download link is available at- https://sourceforge.net/projects/locust.mirror/
Behave: It s a behavior-driven development library that is specially designed in Python with similarities to Cucumber. Behave allows to write tests in a natural language. It is great tool to test how an application performs in particular situations.
Each test is conducted with different perspectives for different objectives. Therefore, it is necessary to have a well-defined scope, approach, and strategy for Python automation testing of a particular product.
Establishing the scope of test automation is the very first step. At this stage, you define the area of testing. Here developers prepare and evaluate test data and testing environments. Some additional factors to be considered while determining the automation testing scope include complexity, goals, available resources, business components to be used, feasibility, etc.
Next stage of automation testing is planning where software testers develop a testing strategy. Selection of testing tools, framework design, framework features, goals to hit at the end of testing, detailed timeline for each task, executing testing cases, team development, etc are the parts of planning for automation testing.
After planning, testers are ready for execution. At this stage, software testers run the test automatically with written script codes. Testers use Web Services Description Language (WDSL) and different APIs to automate the test completely.
Maintenance is also a part of Python Automation Testing strategy. It is needed when the testers intend to reuse the written script. The once written script needs regular updates for effective product testing.
The open-source Selenium test automation is considered the most sought methodology for automated testing. Selenium, an advanced programming framework, simplifies automation testing over different platforms like Windows, Linux, Macintosh, Solarix, etc. The best part of using Selenium for automation testing is that app testers don’t need advanced level programming language expertise. No-cost prompt technical support is availability through a global community. The easy navigation tools facilitate the software testers to write the test cases without investing efforts for scripting.
Automation testing with high-level object-oriented Python is preferred against Java. Python is simple. It runs faster compared to Java. Selenium supports the Python APIs that are used for connecting with browsers. Automated software testing with Python automation testing allows for optimization of QA resources facilitating the dedicated testers and full stack developers to devote more time to accomplish complex tasks that need a manual check.
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