Selenium WebDriver - Python

The "Selenium WebDriver Using Python" course is designed to provide participants with a comprehensive understanding of how to automate web applications using Selenium WebDriver with the Python programming language. This hands-on course will equip you with the skills needed to create robust and maintainable test automation scripts, effectively improve the testing process, and ensure the quality of web applications.

Course Highlights:

• Duration: 6 weeks / 1.5 to 2 hours of per day (Flexible Timings) 

   

Selenium WebDriver

Course Outline:

Module 1: Introduction to Selenium and Automation Testing

• Importance of automation testing in modern software development

• Overview of Selenium and its components

• Setting up the development environment (Python, IDE)

Module 2: Getting Started with Selenium WebDriver and Python

• Introduction to Selenium WebDriver

• Installation and configuration of WebDriver and browser drivers

• Creating a basic Python project for automation

Module 3: Locating Web Elements

• Exploring different types of locators (ID, Name, XPath, CSS Selector)

• Techniques for robust element identification

Module 4: Interacting with Web Elements

• Performing actions such as clicking, typing, submitting forms

• Handling dropdowns, radio buttons, checkboxes, and file uploads

• Managing alerts, frames, and windows

Module 5: Synchronization and Waits

• Understanding synchronization challenges in web automation

• Implementing implicit and explicit waits

• Handling AJAX calls and dynamic content loading

Module 6: Test Automation Frameworks with pytest

• Introduction to pytest for test management and reporting

• Organizing test suites and test cases

• Parameterization and data-driven testing with pytest

Module 7: Page Object Model (POM) Design Pattern

• Introduction to the Page Object Model design pattern

• Creating a POM-based automation framework

• Benefits of using POM for test maintainability

Module 8: Advanced Interactions and Actions

• Using ActionChains for mouse and keyboard interactions

• Handling drag-and-drop, context menus, and hover actions

• Working with iframes and nested frames

Module 9: Data-Driven Testing

• Parameterizing tests using pytest's parametrize decorator

• Reading test data from external sources (Excel, CSV, etc.)

Module 10: Cross-Browser and Parallel Testing

• Configuring and executing tests on different browsers

• Running tests in parallel for efficient test execution

Module 11: Test Maintenance and Best Practices

• Strategies for creating maintainable and reusable scripts

• Debugging and troubleshooting common issues

• Version control and collaboration in automation projects

Python Programming

Course Outline:

Module 1: Introduction to Python Programming

• Overview of the Python programming language

• Setting up the development environment (Python interpreter, IDE)

• Writing and running the first Python program

Module 2: Basic Syntax and Structure

• Understanding Python program structure

• Writing comments and using identifiers

• Declaring variables and data types

Module 3: Operators and Expressions

• Exploring arithmetic and relational operators

• Using operators in expressions

• Operator precedence and associativity

Module 4: Control Flow

• Conditional statements: if, elif, else

• Looping: while, for loops

• Break and continue statements

Module 5: Functions and Modules

• Defining and calling functions

• Function parameters and return values

• Using built-in and user-defined functions

Module 6: Lists and Tuples

• Introduction to lists and tuples

• Accessing and manipulating list elements

• List comprehensions

Module 7: Strings and String Manipulation

• Working with strings: concatenation, slicing

• String methods for manipulation and searching

• String formatting

Module 8: Dictionaries and Sets

• Understanding dictionaries and sets

• Adding, accessing, and modifying dictionary items

• Working with sets and set operations

Module 9: File Handling

• Reading and writing files in Python

• Using file objects and context managers

• Processing text and data from files

Module 10: Exception Handling

• Understanding exceptions and error handling

• Using try-except blocks

• Handling multiple exceptions

Module 11: Basic Object-Oriented Programming (OOP)

• Introduction to object-oriented programming (OOP) concepts

• Creating classes and objects

• Using constructors and methods

Module 12: Modules and Packages

• Importing and using modules in Python

• Organizing code into packages and modules

• Creating and using custom modules