Description

Introduction of Python for Testers

Python is a versatile and beginner-friendly programming language, making it an essential tool for testers looking to automate and optimize testing processes. This training provides a comprehensive introduction to Python’s data types and control structures, laying the foundation for writing efficient and reusable test scripts.

Prerequisites:

1. Basic understanding of software testing principles.
2. Familiarity with manual testing processes.
3. No prior programming experience required.

TABLE OF CONTENT

1. Introduction to Python for Testing

1.1 Overview of Python
1.2 Importance of Python in Testing

2. Setting Up the Development Environment

2.1 Installing Python
2.2 Configuring IDEs for Testing

3. Basic Python Concepts for Testers

3.1 Variables and Data Types
3.2 Operators and Expressions
3.3 Control Flow (if statements, loops)

4. Working with Data in Python

4.1 Lists and Tuples
4.2 Dictionaries
4.3 Sets

5. Functions and Modules

5.1 Defining and Using Functions
5.2 Creating and Importing Modules

6. Object-Oriented Programming (OOP) for Testers

6.1 Classes and Objects
6.2 Inheritance and Polymorphism
6.3 Encapsulation and Abstraction

7. File Handling in Python for Testing

7.1 Reading and Writing Files
7.2 Handling Different File Formats

8. Web Testing with Python

8.1 Introduction to Web Testing(Ref: Data-Driven Testing with Selenium, Python, and REST APIs)
8.2 Using Selenium for Web Automation

9. API Testing with Python

9.1 Basics of API Testing
9.2 Using Requests Library for API Testing

10. Testing Frameworks in Python

10.1 Overview of Testing Frameworks
10.2 Introduction to PyTest

11. Database Testing with Python

11.1 Connecting to Databases
11.2 Executing SQL Queries

12. Automated Testing Best Practices

12.1 Writing Clean and Maintainable Code
12.2 Test Case Design and Organization

13. Integration with Continuous Integration (CI) Tools

13.1 Integrating Tests with CI/CD Pipelines
13.2 Automated Testing in CI/CD

14. Introduction to Test Automation in Python

14.1 Importance of Test Automation
14.2 Frameworks for Test Automation

15. Troubleshooting and Debugging in Python

15.1 Common Issues and Solutions
15.2 Debugging Techniques

Conclusion:

By mastering Python’s data types and control structures, testers can streamline their workflows, enhance test coverage, and automate repetitive tasks effectively. This training equips participants with the fundamental skills to begin using Python in their testing environments, opening the door to more advanced automation and scripting opportunities.

Reference