API Testing in Python

Name: API Testing in Python
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API Testing in Python: Build a Framework from Scratch

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Building a Python API framework step by step

This Test Automation University course shows how to build an API test automation framework in Python from scratch. It moves from setting up Python and virtualenv on Mac or Windows to structuring the framework so it stays maintainable as it grows.

Techniques covered

Making every common HTTP operation with the requests library.
Fluent assertions with assertpy.
Working with XML and JSON requests and responses.
Response schema validation using Cerberus.
Reporting through Report Portal, and running tests in parallel.

Who it suits

Testers who want a complete framework in Python, from setup onward, will find the arc useful. Since the outline covers framework practices as well as the tools, it also suits teams building a shared test suite.

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About this course

Welcome to the Test Automation University course on building an API test automation framework with Python.

My name is Gaurav Singh and I'll be your instructor for this course.

I go by @automationhacks on Twitter or LinkedIn, and you can check out my blog on https://automationhacks.io.

We will discuss and understand how to build an API automation framework from scratch.

Here is an outline of what we will cover.

How to set up Python and Virtualenv on your Mac or Windows
How to make HTTP requests for all the common operations using Python requests
How to add fluent assertions in your framework using assertpy
How to work with XML responses
How to work with JSON requests and responses for your framework
Deep dive into how you create a response schema validation test using Cerberus
What are good framework development practices and how to structure your framework
Integrate reporting into our solution using Report Portal
How you could run your tests in parallel

We have a lot of stuff to cover and I'm really excited to bring this course to you, and I hope you will enjoy it. So what are we waiting for? Let's begin.

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