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Developing a successful test plan depends on identifying the right automation tools for the project. These tools are critical for timely and efficient electronic product development.
Test automation improves efficiency in three ways. First, automation replaces manual human repetition, resulting in fewer opportunities for error. Second, automation accelerates sequential testing by automatically switching through an entire battery of tests. This is far more efficient than manual testing. Finally, automated data capture and consistent execution increase accuracy.
Python is a powerful tool for writing scripts that can be used to automate testing. Python is a runtime language, easy to learn, but lacking the robust GUI and driver development support needed for full test automation. Combining Python with other programming languages, such as C# and .NET, gives test automation engineers the best of both worlds.
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