Testing
Description
Python Testing involves verifying and validating the functionality, performance, and reliability of Python applications. It includes both manual and automated testing practices using popular tools and frameworks such as PyTest, Unittest, and Selenium. Python’s simplicity and extensive libraries make it ideal for writing clean, maintainable test scripts for unit, integration, and end-to-end testing.
What You will Learn
During this program, you will learn how to test Python applications effectively using both manual and automated approaches. You will gain theoretical knowledge and practical hands-on experience with testing frameworks like PyTest, Unittest, and Selenium. The training will cover unit testing, integration testing, and automation best practices to ensure robust and bug-free Python software.
After this training, you will be able to:
Course Syllabus
Testing
- What is Automation Testing?
- Benefits of Automation
- Manual vs Automation Testing
- Automation Frameworks Overview
- Types of Testing (UI, Functional, Regression, API)
- Python Basics: Variables, Data Types, Operators
- Control Flow: if, for, while, functions
- Lists, Tuples, Sets, Dictionaries
- Exception Handling
- OOP in Python: Classes, Inheritance, Polymorphism
- File Handling in Python
- Python Virtual Environment & Pip
- Introduction to Selenium WebDriver
- Setting Up Selenium with Python (IDE, WebDriver, Drivers)
- Locators: ID, Name, XPath, CSS
- Working with Web Elements: Text Box, Button, Dropdown, Checkboxes, etc.
- Waits: Implicit, Explicit
- Handling Alerts, Frames, Windows
- Actions (Mouse, Keyboard Events), JavaScriptExecutor
- Screenshot & Logging
- Introduction to PyTest
- Writing Test Cases with PyTest
- Fixtures and Parameterization
- Assertions in PyTest
- Grouping and Markers
- Generating HTML Reports
- Unittest Architecture
- TestCase Class & Test Discovery
- Setup and Teardown Methods
- Organizing Tests into Test Suites
- Running Tests from CLI
- Introduction to Robot Framework
- Test Cases in Tabular Format
- Writing Keywords and Libraries
- Integration with Selenium
- Generating Reports and Logs
- What is POM?
- Implementing POM in Python
- Reusable Page Classes
- Dynamic XPath Handling
- Reading Test Data from Excel (openpyxl / pandas)
- Parameterization in PyTest & Unittest
- JSON and CSV Data Handling
- Introduction to REST APIs
- Using Postman to Test APIs
- Automating APIs using `requests` library
- Validating Status Codes, JSON, Headers
- PyTest Integration for API Testing
- Introduction to BDD & Gherkin
- Writing Feature Files
- Step Definitions in Python
- Running and Organizing Scenarios
- Hooks and Data Tables
- Reports and Logs
- Introduction to Git & GitHub
- Git Commands: clone, commit, push, pull
- Introduction to Jenkins
- Automating Test Execution with Jenkins
- Scheduling Jobs
- Logging in Python
- Allure Report Integration
- PyTest HTML Report
- Generating Screenshots on Failure
- Building a Real-Time Selenium + PyTest Framework
- End-to-End Functional Test Cases
- Interview Questions and Answers
- Resume Preparation and Best Practices
- Final Assessment & Certification
- StartsThis Week
- Duration6 Months, 6 hrs / week