Python Testing with Selenium

Implement different testing techniques using Selenium WebDriver with the Python programming language. This quick reference provides simple functional test cases with a syntax-based approach for Selenium WebDriver.  Youll begin by reviewing the basics of Selenium WebDriver and its architectural design history and then move on to the configuration and installation of Selenium library for different web browsers, including the basic commands needed to start test scripts in various browsers.  Youll review action commands of keyboard and mouse for testing user interactions in a web page and see how hyperlinks are tested.  The book also examines various web elements using eight different locators provided by Selenium to help you choose the one best suited to your needs. All Python scripts are ready to test real examples, all of which are explained thoroughly with problem statements. Youll use different Python design patterns to automate test scripts that can be incorporated with Selenium.     In the end, Python Testing with Selenium will provide you with the expertise to write your own test cases in future. What Youll Learn Install and configure Selenium WebDriver with Python for different webbrowsers  Review basic commands of Selenium Locate web elements  Work with UI based web elements Assert web elements and handle exceptions Write test scripts in Page Object Model Write test cases with Unittest framework  Who This Book Is For   Python developers/testers who want to test their web applications

Sujay Raghavendra works mainly in the field of data science, machine/deep learning, and artificial intelligence and is currently Executive Director of Raghavendra Training & Consultancy (RTC), a start up company based in Dharwad, Karnataka, India. RTC was co-founded with his brother Sumedh Raghavendra in 2014. He also plans and evaluates new technological projects for research and product development to various companies at RTC. Some of his projects include analyzing pap smear filter for microscopic medical images, thermal heat sensing in hospitals, ocr for handwritten characters, satellite image analysis, network automation for maps, forecasting model, text analytics & predictions, etc. Raghavendra has been a consultant for helping and building research centers for technical universities and colleges and his recent interest includes automating testing cases using machine learning. He has published numerous research articles in international journals and was part of a reviewer committee in various journals and conferences.