Software Testing With Python Course

Welcome to the world of Python-based software testing at Webdox Computer Institute in Jalandhar! Gain experience testing web apps with Python and industry-standard tools. Whether you’re just starting out or an expert web tester, our Software testing with python course in Jalandhar will provide you the hands-on experience you need to succeed.

Objective Of This Course:

Webdox Computer Institute’s Software Testing with Python Course in Jalandhar teaches students how to test softwares using Python. They learn how to automate testing, do unit testing, and run test cases to ensure software quality. Students who complete this course are equipped for software testing responsibilities, which contributes to more efficient development procedures.

Syllabus Of This Course:

• 1. Introduction to Software Testing:-
• In “Introduction to Software Testing,” you’ll learn about the importance of testing in software development, testing procedures, and the many types of testing. In addition, learn about web testing and the issues it presents.
• 2. Python Basics for Testing:-
• In “Python Basics for Testing,” you’ll learn the essentials of Python, syntax, and how to set up your development environment. Understand variables, data types, operators, and control flow statements and loops.
• 3. Essential Testing Concepts:-
• In module you will learn about test planning, case design, execution, reporting, debugging, troubleshooting, documentation, and best practices.
• 4. Web Testing Fundamentals:-
• In “Web Testing Fundamentals,” you’ll learn about web technologies including HTML, CSS, and JavaScript, as well as how HTTP requests and responses. Explore via the web browsers and development tools to get knowledge of common vulnerabilities and security testing procedures.
• 5. Testing Frameworks and Libraries:-
• In this module, you will learn about Python testing frameworks such as PyTest and unittest. Learn how to build assertion-based test cases, comprehend test fixtures, and collaborate with test runners. Learn how to connect testing frameworks with continuous integration (CI) technologies for more efficient development processes.
• 6. Web Automation Testing with Selenium:-
• In this module, we’ll learn how to use Selenium WebDriver to locate and interact with web items. Learn how to fill out forms, click, and navigate, as well as how to handle warnings, pop-ups, and frames for full web automation testing.
• 7. Test Data Management and Test Environments:-
• In “Test Data Management and Test Environments,” you’ll learn how to create dynamic test data and manage test environments using Docker. Investigate strategies for mocking and stubbing external dependencies, as well as data-driven testing and parameterization to provide thorough test coverage.
• 8. Performance and Load Testing:-
• In “Performance and Load Testing,” you’ll  learn about performance testing concepts and how to use Python libraries for load testing. Analyse performance metrics and bottlenecks, and explore scaling and optimisation solutions for web applications to ensure peak performance under different loads.
• 9. Test Automation in Practice:-
• In “Test Automation in Practice,” you will learn how to combine tests into a full test suite, run tests in parallel, and incorporate them into continuous integration and delivery pipelines. Learn how to monitor and report test results for more efficient and effective test automation processes.
• 10. Test Automation for Mobile Web Applications:-
• Explore “Test Automation for Mobile Web Applications,” which covers mobile web testing concepts and techniques. Learn about mobile emulation, device testing, and evaluating responsive web designs. Discover ways for handling mobile-specific challenges to enable efficient test automation for mobile web application.
• Upon completion, you will be able to successfully test web apps with Python, frameworks, and automation tools. You’ll be able to find and report errors, create comprehensive test suites, and improve app quality.

Requirements:

• For this course, participants should have basic programming knowledge (Python is advantageous but not mandatory) and familiarity with web technologies like HTML, CSS, and JavaScript. Additionally, a laptop with Python and required software installed is necessary.