Receive a brief overview of how to add modules to Python and how to run scripts.
- [Instructor] This course is about using scripts in testing, and there are several different languages that can be used. I'll primarily use Python since it's a powerful, yet easy-to-learn language that's used in many applications. There are also numerous well-supported libraries for Python that can be used to help you quickly accomplish your task. We'll learn about some of those libraries in this course and how to use them. Although this is a course on scripting, we'll not be covering the details of programming, so it would be good to have some familiarity with this ahead of time. If you don't know Python, you should be able to follow along. But if you have no coding experience at all, consider searching the library for an introductory Python course.
It'll help make this course more clear for you. The examples we go through will use version 3.6 of Python, and so it's recommended that you install this version if you want to follow along. You can find the install for this on the python.org website. There are also a few other tools that I'll be using in this course. I'll be using a console emulator, called Cmder, as my command prompt. So if you want to use that, you can find it at cmder.net. We'll also be writing some scripts in files. So you should be able to do this with any text file editor, but the one I'll be using is Visual Studio Code.
You can download this from code.visualstudio.com if you want. And a few of the videos in this course will use the code inspector in Chrome. Any major browser should work for this, but all the examples that we cover will be using Chrome. And so now we should be set up and ready to go.
- Driving API calls with scripting
- API authentication
- Parsing API data
- Automating reports with Google APIs
- Using the Google Charts and Sheets APIs
- Preparing test sites with Selenium WebDriver
- Analyzing test data with scripting
- Generating pseudo input data for testing