Pytest Online Training

Course Overview

Pytest is one of the popular open-source python-based test automation frameworks. It is a powerful testing framework, we can even test Databases, UI, and especially APIs for which it is popular. This Pytest tutorial is prepared according to industry standards and expectations of the changing market. This course will teach you the concepts of writing test scripts for simple unit tests to complex functional tests. You will learn all the nuances of testing Python applications through Pytest. This instructor-led live training will be nothing less than classroom training and become a master tester from the comforts of your home.

Key Features

Installation and configuration of Pytest
Core Concepts of Pytest architecture
In-depth knowledge of Pytest fixtures, Pytest Conftest, Pytest Patch, and Pytest assert
Get Pytest Certification
Real-time Pytest examples for Practice
Providing important Pytest interview questions
Choose your schedule according to your convenience

Who Should Learn Pytest Online Training Course?

This course primarily benefits python developers, testers, QA engineers, and developers interested in writing effective test scripts. And it also useful for beginners who want to pursue a career in the automation testing domain. Additionally, it benefits individuals who are interested in getting Pytest certification.

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Industry Trends

Course curriculum / Syllabus

Getting Started

Installation of Pytest
What is Testing?
Need for Testing
Types of Testing
Writing Test cases
Types of Testing Techniques

Introduction to Unit Test

Unit Testing in Python
Simple Unit test examples
About Test discovery
About Test Runner
About Assert methods

Skipping tests and expected failures in unites

Using the skip() decorator
How Decorators can be used to implement test skipping and expected failures

Fixtures in unites

What are fixtures?
setUpClass and tearDownClass
setUpModule and tearDownModule

Pytest

Why Pytest?
Assertion rewriting with Pytest
Running unit tests from Pytest

Parameterizing and Fixtures in Pytest

What is Parameterizing?
Parameterizing in Pytest
About Pytest Fixtures
Benefits of Pytest fixtures
Built-in Fixtures

Pytest Plugins

Installing and Using plugins
Pytest-cov
Pytest-xdist
Pytest-catchlog
Pytest-timeout
Pytest-sugar

Pytest Online Training FAQ’s:

1.What is Pytest?

Pytest is an open-source python-based test automation software used for testing APIs, UIs, and even databases. It is a popular python library. It makes tests easy, simple, and scalable.

2.How to run Pytest?

We can run a specific test file by giving its name as an argument. It can be run by providing its name after characters. Markers can be used for group tests.

3.What is the difference between Pytest vs unittest?

Pytest is a fully-featured python testing tool that makes it easy to write small tests, and also complex functional testing.

Unittest is a Unit style framework for Unit testing. It performs Unit tests for various programming languages. It is the same as the other styles of Xunit.

4.What is Pytest verbose?

Verbose increases the verbosity level. It is a specific command to run tests to see the hidden lines to debug the test failures.

5.What is Pytest raises?

It is a module that tests the exception raised during the test. It shows that a block of code raises specific exceptions.

6.What are Pytest fixtures?

Fixtures are functions that run before each test function. Fixtures are provided with data to do the tests such as database connections.

7.How do I get Pytest Certification?

We provide you with certification upon the completion of the course successfully. Our certification helps you gain credibility and trust among the companies hiring. Our certification is accredited with many leading organizations and makes your hiring that much easier. This certification is in sync with company standards and practices.

8.What is Pytest conftest?

It is an external plugin loading system. It is used to import external plugins or modules.

9.What is Pytest assert?

This Pytest assert function allows you to use standard python assert for verifying expectations and values in Python tests.