About this blog!

The motive behind creating this blog is to share knowledge on Automation using code.


In this blog we will primarily cover tutorials/articles on software test automation concepts using python and other supporting python packages to assist in test automation.


We will also have some tutorials on how python can be used to ease your work life by automating certain repeatable manual tasks, such as scraping/tagging of emails for organizing purposes/compiling data from multiple pdfs/spreadsheets/etc.


We are confident that this blog will help you to gain knowledge and help you solve problems using software automation.


We will be happy with your valuable comments and suggestions on the articles and this blog.


Cheers!

Automation: Concepts and Tutorial

Popular posts from this blog

Pytest Tutorial - 8 | Advanced - Parametrization Techniques

In this article, we will explore advanced techniques to master parametrization in Pytest, enabling you to write more scalable and flexible test cases. Pytest's @pytest.mark.parametrize is a powerful feature that allows us to run the same test multiple times with different data inputs. However, beyond the basics, there are more sophisticated ways to leverage this tool, which we’ll cover here. Recap: Basic Parametrization If you're already familiar with basic parametrization in Pytest, you'll know that it involves the @pytest.mark.parametrize decorator, which allows passing various inputs to a single test function. Here’s a quick recap of a basic example: import pytest @pytest.mark.parametrize("a, b, expected", [(1, 2, 3), (4, 5, 9), (10, -5, 5)]) def test_addition(a, b, expected): assert a + b == expected In this simple example, the test runs three times, each with a different set of input values for a , b , and expected . 1. Parametrizing Multip...
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Pytest Tutorial - 6 | Intermediate - Parametrization in detail

Introduction In our previous tutorial, we delved into the powerful world of Pytest's parametrize feature. We discovered how it enables us to perform data-driven tests with ease. However, to truly master data-driven testing, we need to move beyond the basics and develop an intermediate understanding of this feature. In this article, we will explore what Pytest parametrize is, the parameters it supports, how it operates, and illustrate its usage with practical examples. What is the Pytest Parametrize Feature? Pytest parametrize is a versatile feature that allows you to execute the same test function multiple times with different sets of input data. This feature streamlines the process of testing various scenarios, making it a fundamental tool in software testing. Allowed Parameters The Pytest parametrize feature supports two main  argnames:  This parameter defines the names of the input arguments to your test function. It can be a string or a list of strings, specifying one or m...
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Pytest Tutorial - 4 | The Basics - Testing Concepts and Types

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  Why this in between pytest tutorials? Dear learners, I feel that knowing the basics of Test types and concepts behind it will help each one of us in the long run of writing robust, scalable, readable and impactful tests. Let’s dive in! There are multiple types of testing which are generally performed in various IT organizations. Unit tests Integration Tests System tests (Will explore on this in separate tutorials) System integration tests (Will explore on this in separate tutorials) Pytest can help in all the above. These types of testing are fine however, when it comes to testing, we have many test cases to automate/run, be it unit test or integration or system tests. In order to manage this we need to learn test management as well. Typically in test management we  Map our tests to requirements/user stories for test coverage purposes group our tests in TEST SUITES.  A test suite is a collection of tests. You can have multiple test suites such as unit test suite/integra...
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