Python Automation Testing With Pytest from Udemy

Hi. Welcome to Python Automtion Testing With Pytest.

This course will help you master automation testing with Pytest framework. Pytest is a testing framework which allows us to write test codes using python. We can write code to test anything in any environment, like database, API, and even GUI if you want. It is a simple framework to learn, just like python.

In this course, we will be go through all topics of Python Pytest framework and it assumes that you have minimal prior experience with Python coding.

We will learn everything about Pytest that will help us build a test automation framework easily. We will cover all important aspects of pytest and also how automation is done in real test environment.

Some of topics are highlighted below, we will go thru all of this and more:

Test Naming, and Test discovery

Different types of Assertions

Skipping tests and markers

Parametrized or data driven testing

Fixtures - one of the interesting topics in pytest

Passing cmd line args in pytest

Running tests in Jenkins- the CI/CD server

Thank you and see you in this course.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds Python automation testing skills, which are key in the industry

Taught by Kumar S, who has not been recognized for their work in Python automation testing

Covers a wide range of automation topics, making it a beneficial resource for beginners and intermediate learners

Lacks hands-on labs and interactive materials, which may limit its effectiveness

Assumes learners have minimal Python experience, making it less accessible to those new to the language

Uses an up-to-date Pytest framework version, ensuring relevance in the industry

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Automation Testing With Pytest with these activities:

Follow Pytest beginners tutorial

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Solidify the fundamentals of pytest through a guided pytest tutorial.

Browse courses on pytest

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Locate a reputable pytest tutorial for beginners.
Review the tutorial materials thoroughly.
Complete any exercises or practice problems associated with the tutorial.
Take notes and highlight important concepts and best practices.

Guided Tutorial: Installing and Setting Up PyTest

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Reinforce your understanding of the course material by following a guided tutorial on installing and setting up PyTest.

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Visit the official PyTest documentation or a reputable online tutorial.
Follow the step-by-step instructions to install PyTest on your system.
Create a new virtual environment and activate it.
Install PyTest in the virtual environment.
Verify your installation by running 'pytest --version' in the terminal.

Practice Drills: Writing Test Cases with PyTest Assertions

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Solidify your grasp of PyTest's assertion capabilities by completing practice drills on writing effective test cases.

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Review the different types of assertions available in PyTest.
Create a simple test function and implement various assertions.
Run the test function and observe the output.
Experiment with different assertion methods to verify expected outcomes.
Seek feedback from peers or the instructor to refine your test cases.

Four other activities

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Following Pytest Tutorial

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Following along with Pytest official documentation to establish the foundational understanding of the framework and best practices.

Browse courses on Test Automation

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Navigate to Pytest docs
Read tutorials on pytest concepts and syntax
Run code examples

Attend a Local Python Meetup or Conference

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Connect with like-minded individuals, share knowledge, and learn from experts in the field of Python testing.

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Research local Python meetups or conferences.
Register for an event that aligns with your interests.
Attend the event and actively participate in discussions.
Network with other attendees and exchange insights.
Follow up with connections made at the event.

Design a Pytest-based Testing Framework

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Developing a custom Pytest-based testing framework to gain hands-on experience in designing and implementing test automation solutions.

Browse courses on Test Automation Framework

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Define the project scope and requirements
Design the framework architecture
Implement the framework using Pytest

Project: Developing a Simple Test Automation Framework

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Demonstrate your mastery of PyTest by creating a simple test automation framework that can be used to test a small-scale application.

Browse courses on Test Automation

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Design the architecture of your test automation framework.
Implement the framework using PyTest and appropriate design patterns.
Write test cases for a small-scale application.
Execute the test cases and analyze the results.
Document your framework and share it with others for feedback.

Career center

Learners who complete Python Automation Testing With Pytest will develop knowledge and skills that may be useful to these careers:

Quality Assurance Analyst

A Quality Assurance Analyst, also known as a QA Analyst, ensures that a product meets its quality standards. They also define, implement, and oversee testing of software and other products to ensure that they meet requirements. Python Automtion Testing With Pytest can be a great tool for a QA Analyst because it can help automate the testing process. This can free up QA Analysts to focus on other tasks, such as defining and overseeing the testing process.

See salaries and explore the career path for Quality Assurance Analyst

Software Test Engineer

A Software Test Engineer is responsible for ensuring a software application meets the requirements specified by the development team. This role may also work with product managers to determine the requirements of the software application. With Python Automtion Testing With Pytest, you can build a test automation framework to ensure that a software application meets all of its requirements. This course will help set you up for success in this career and provide a strong foundation in automation testing that is essential for most software engineers.

See salaries and explore the career path for Software Test Engineer

Automation Testing Engineer

An Automation Testing Engineer is responsible for creating automated tests, building and maintaining test environments, and executing and managing automated tests. Python Automtion Testing With Pytest can give you a competitive advantage in this role, because it can help you quickly learn the basics of using Pytest to write and maintain automated tests.

See salaries and explore the career path for Automation Testing Engineer

DevOps Engineer

A DevOps Engineer is responsible for ensuring that a software application is deployed and maintained in a reliable and efficient manner. This role may also work with product managers to determine the requirements of the software application. Python Automtion Testing With Pytest is a useful course for DevOps Engineers because it can help them to ensure that their software applications are deployed and maintained in a reliable manner. This can help to prevent costly downtime and ensure that applications are available to users when they need them.

See salaries and explore the career path for DevOps Engineer

Software Developer

A Software Developer is responsible for developing software applications. This role may also work with product managers to determine the requirements of the software application. Python Automtion Testing With Pytest can be useful for Software Developers because it can help them to test their applications and ensure that they meet requirements. This course will give developers a head start in building a strong set of automation testing tools to assist them in their software development role.

See salaries and explore the career path for Software Developer

Test Automation Engineer

A Test Automation Engineer is responsible for ensuring that automated tests are developed and maintained. This role may also work with product managers to determine the requirements of the software application. Python Automtion Testing With Pytest can be useful for Test Automation Engineers because it can help them to develop and maintain automated tests. This course will teach them the ins and outs of using Pytest to write and maintain automated tests.

See salaries and explore the career path for Test Automation Engineer

Data Analyst

A Data Analyst is responsible for collecting, cleaning, and analyzing data. This data can be used to make informed decisions about a business. Python Automtion Testing With Pytest may be useful for Data Analysts, as it can help them to automate the data analysis process. This can free up time to focus on other tasks, such as interpreting data and making recommendations.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst is responsible for understanding the needs of a business and developing solutions to meet those needs. This may involve working with stakeholders to gather requirements and analyzing data. Python Automtion Testing With Pytest may be useful for Business Analysts, as it can help them to automate the data analysis process. This can help to make more informed decisions.

See salaries and explore the career path for Business Analyst

Software Quality Assurance Engineer

A Software Quality Assurance Engineer is responsible for ensuring that software meets quality standards. This can involve testing software, writing test cases, and developing test plans. Python Automtion Testing With Pytest can be a valuable tool for Software Quality Assurance Engineers, as it can help them to automate the testing process and free up time to focus on other tasks, such as developing test plans.

See salaries and explore the career path for Software Quality Assurance Engineer

Project Manager

A Project Manager is responsible for planning, organizing, and executing projects. This may involve working with stakeholders to gather requirements and managing resources. Python Automtion Testing With Pytest is an excellent course for project managers, as it can provide you with a solid foundation in a valuable tool for managing projects.

See salaries and explore the career path for Project Manager

Systems Analyst

A Systems Analyst is responsible for analyzing and designing systems. This may involve working with stakeholders to gather requirements and developing system specifications. Python Automtion Testing With Pytest can be useful for Systems Analysts, as it can help automate the testing process and free up time to focus on other tasks, such as designing systems.

See salaries and explore the career path for Systems Analyst

Product Manager

A Product Manager is responsible for defining and managing the development of a product. This may involve working with stakeholders to gather requirements and managing the product roadmap. Python Automtion Testing With Pytest may be a helpful tool for Product Managers, as it can help them to ensure that the product meets the needs of the users.

See salaries and explore the career path for Product Manager

Computer Programmer

A Computer Programmer is responsible for writing and maintaining code. This may involve working with stakeholders to gather requirements and developing algorithms. Python Automtion Testing With Pytest provides a foundation for the skills required as a computer programmer, and can be particularly useful for writing and maintaining automated tests.

See salaries and explore the career path for Computer Programmer

Technical Writer

A Technical Writer is responsible for writing technical documentation. This may involve writing user manuals, training materials, and marketing materials. Python Automtion Testing With Pytest provides a solid foundation for learning the basics of using Pytest for the purpose of testing code as a technical writer.

See salaries and explore the career path for Technical Writer

Data Scientist

A Data Scientist is responsible for collecting, cleaning, and analyzing data. This data can be used to make informed decisions about a business. Python Automtion Testing With Pytest may be helpful for Data Scientists, as it can help them to automate the data analysis process. However, it's important to keep in mind that more advanced courses will likely be necessary to be successful as a Data Scientist.

See salaries and explore the career path for Data Scientist

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