You just finished creating your web application and want to clean it from any possible bugs, imperfections, and performance issues. But you feel a bit overwhelmed with the choice of testing tools and frameworks and the articles singing their praises. In this article, we will explore using Selenium with Python for test automation.
I have a bit of a confession to make, I’ve never really bothered to learn Python. The last time I briefly used it, Python 3 had just been released and was being ignored by almost everyone due to all to breaking changes people had porting over to it from Python 2. This is crazy, as in my opinion, Python is only behind JavaScript in terms of the most used language in the world. I have no excuse not to learn it and see what the fuss is all about!
Python was created by Guido van Rossum in the early 90's and is an interpreted, high-level programming language that is used by coders of all types. It is a widely-used programming language because of its readability and the fact that it is easy to learn for novice programmers. It supports multiple programming paradigms, including object-oriented, functional, and imperative/procedural styles.
According to IEEE Spectrum Python is the top programming language of 2021, and since April Loadero supports Python as a test script language. Many engineers agree that test automation with Python is an excellent choice, and in this blog post, we’ll show the basics of it. Python tests in Loadero use the Py-TestUI framework. Py-TestUI wraps and implements additional features for Selenium Python binding.
In this blog post we’ll help answer the age old question, “What does this service talk to and what does it say?” We’ll see how to inspect inbound and outbound REST API calls to see what calls are being made and what incoming traffic causes a reaction. This can be pretty handy when you’re taking over maintenance of an existing service, or if your code just isn’t behaving the way you expect.
Logging is used to track events that happen when an application runs. Logging calls are added to application code to record or log the events and errors that occur during program execution. In Python, the logging module is used to log such events and errors. An event can be described by a message and can optionally contain data specific to the event. Events also have a level or severity assigned by the developer. Logging is very useful for debugging and for tracking any required information.
