Test Automation with Python (PyTest) Course Overview

Test Automation with Python (PyTest) Course Overview

The Test Automation with Python (PyTest) course provides comprehensive training in leveraging PyTest, a powerful Python library, for writing and running tests. This course is designed to help learners develop skills in python automation testing through a structured curriculum, starting with a refresher on Python basics and gradually moving towards more advanced concepts of testing with PyTest.

Throughout the course, participants will delve into various aspects of PyTest, including fixtures, markers, parameters, and plugins, enabling them to write robust and maintainable test suites. The transition from Python's standard UnitTest framework to PyTest is also covered, providing strategies for existing test code migration.

By the end of this python automation testing course, learners will be well-versed in the best practices of test automation, preparing them to implement and maintain a Python testing environment effectively. The practical, hands-on approach, with labs and exercises, ensures that participants gain real-world experience, making this python automation testing training online both practical and job-relevant.

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  • Live Online Training (Duration : 16 Hours)
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  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Certainly! Based on the provided context for the Test Automation with Python (PyTest) course offered by Koenig Solutions, here are the minimum required prerequisites for students looking to successfully undertake this training:

  • Basic understanding of programming concepts and principles.
  • Familiarity with Python syntax and basic Python programming experience.
  • Knowledge of software development and software testing fundamentals.
  • An understanding of basic command-line usage for executing programs and scripts.
  • Willingness to learn and apply new testing methodologies and frameworks.

Please note that while prior experience with testing frameworks or test automation is beneficial, it is not strictly necessary to begin this course. The Python Refresher module is designed to help bring all students up to speed with Python, which means that even those with limited experience should be able to follow along after the initial module.

Target Audience for Test Automation with Python (PyTest)

  1. "Test Automation with Python (PyTest)" is a comprehensive course designed for professionals looking to enhance their software testing skills.

  2. Target Audience:

  • QA Engineers and Testers transitioning to automated testing
  • Software Developers interested in implementing testing frameworks
  • DevOps professionals aiming to incorporate testing into CI/CD pipelines
  • Technical Project Managers overseeing testing teams
  • Data Scientists and Analysts requiring automated testing for data validation
  • New graduates or career switchers entering the software testing field
  • Technical Leads and Architects designing test automation strategies
  • IT professionals wanting to learn about test automation best practices
  • Python Programmers expanding their skill set into testing domains

Learning Objectives - What you will Learn in this Test Automation with Python (PyTest)?

Introduction to the Course's Learning Outcomes and Concepts Covered

Gain proficiency in test automation using Python and PyTest with a comprehensive course that covers Python basics, PyTest framework essentials, advanced fixtures, markers, parameters, and plugins, as well as strategies for migrating from UnitTest to PyTest.

Learning Objectives and Outcomes

  • Understand the fundamentals of Python programming necessary for test automation.
  • Learn the importance of writing tests and the advantages of using the PyTest framework over others.
  • Master the installation of PyTest and gain expertise in writing and executing test cases effectively.
  • Organize tests using files and packages for better maintainability and discover the various command-line options to customize test runs.
  • Configure PyTest using the pytest.ini file to tailor the framework to specific project needs.
  • Utilize markers to skip, xfail tests, or run a subset of tests, and learn how to parameterize tests for more efficient testing.
  • Implement fixtures to provide a fixed baseline for tests, understand their scope, and learn how to use them across multiple test files with conftest.py.
  • Leverage built-in and custom fixtures for improved test setup and teardown, including best practices for fixture use.
  • Explore the PyTest ecosystem by finding, installing, and utilizing plugins to extend the framework's functionality.
  • Transition from using Python’s UnitTest to PyTest, including converting asserts, managing test hierarchies, and applying migration strategies for existing test suites.