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TechLink Selenium | DevOps | GenAI

Selenium Python Training course videos will help you learn Python, Pytest, WebDriver, and Frameworks. The objective of the course is that you should be able to work on Selenium using Python to an expert level, which can help you clear interviews/work on projects.

We have covered various projects and frameworks, which will give you industry-level experience. On course completion, you will be a master in Selenium Automation Testing with Python and can successfully implement it in your workplace or will surely land High high-paying job

Examples are taken from REAL-

Topics include:

Read more

Selenium Python Training course videos will help you learn Python, Pytest, WebDriver, and Frameworks. The objective of the course is that you should be able to work on Selenium using Python to an expert level, which can help you clear interviews/work on projects.

We have covered various projects and frameworks, which will give you industry-level experience. On course completion, you will be a master in Selenium Automation Testing with Python and can successfully implement it in your workplace or will surely land High high-paying job

Examples are taken from REAL-

Topics include:

  1. Python Basics

  2. Python Modules, Variables, and Data Types

  3. Python Decision-Making & Functions

  4. Python Data Structures and Strings

  5. Python Object-Oriented Programming

  6. Inheritance & its types

  7. Python Encapsulation

  8. Decorators & Generators

  9. Python Exception Handling

  10. Openpyxl and reading Excel files

  11. Writing into an Excel file

  12. What is Pytest | Installing Pytest

  13. Grouping & Parameterizing test cases

  14. Fixtures & Dependency

  15. Pytest Allure Reports

  16. Customizing Allure Report

  17. Project Structure with Python is reusable with any project

  18. What Is Selenium Webdriver? Components of Selenium Webdriver

  19. Downloading Selenium in Eclipse/PyCharm

  20. Launching Browsers with Selenium

  21. Handling Browser Notifications, Proxy Settings, Logs, and SSL Errors

  22. Identification of Objects in Selenium Python WebDriver

  23. Using XPaths with Selenium Python

  24. Using CSS Selectors with Selenium WebDriver

  25. Waiting Strategies, WebElement Features, and Exceptions in Selenium

  26. Multiple Object Extraction

  27. Taking Screenshots, Managing CheckBoxes, Radio Buttons, Dropdowns with Selenium

  28. Multiple Window Handing With Selenium

  29. Managing Frames and Javascript Alerts

  30. Action Class and Performing Complex User Actions

  31. Managing Web tables

  32. Handling Ajax Auto Suggests, JSE & AutoIT

  33. Uploading and Downloading Files With Selenium

  34. Managing Website Cookies

  35. Parallel execution with Selenium Grid

  36. Jenkins and Git Implementation

  37. Data Driven Framework - Happy Testing :)

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What's inside

Learning objectives

  • Zero prior knowledge of webdriver, java & automation testing required. we will start from very basics
  • By the end of the course, you will be able to develop an awesome test automation framework
  • Expertise to become lead sdet / automation architect
  • Last but not least" you can clear any interview and can lead entire selenium automation project from design stage.
  • You will improve your selenium with python coding skills in writing best optimised code for automating test-cases.

Syllabus

Class Variables in Python
Selenium Python Course Introduction
Introduction and Road Map
Start With Selenium Python
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Career center

Learners who complete Selenium PYTHON : (Basic, Advance, Framework) will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Selenium PYTHON : (Basic, Advance, Framework).
Is widely considered the definitive guide to pytest. It provides a comprehensive introduction to the framework, covering its core features like simple asserts, fixtures, parametrization, and plugins. It's suitable for gaining a broad understanding and also serves as a valuable reference for specific features. The second edition is updated to reflect changes in Python and pytest.
While not solely about OOP, this book is fundamental for any programmer, including those using OOP. It emphasizes writing readable, maintainable, and well-structured code, which is essential for effective object-oriented design. It teaches the difference between good and bad code and how to refactor, providing practical examples and insights into SOLID design principles based on OOP concepts. This crucial reference for writing high-quality code in any object-oriented language.
Often referred to as the 'Gang of Four' book, this seminal work on software design patterns in OOP. It presents a catalog of 23 classic design patterns that provide solutions to recurring design problems. Understanding these patterns is vital for designing flexible, maintainable, and reusable object-oriented systems. is more suitable for those with a foundational understanding of OOP and valuable reference for designing complex software.
Is an excellent starting point for anyone new to Python or programming in general. It covers fundamental programming concepts and Python basics with a hands-on, project-based approach, making it very practical for beginners. The third edition is updated to cover newer Python versions and is widely recommended for its clear explanations and engaging projects. It's often used as an introductory textbook.
Provides a comprehensive overview of Selenium WebDriver, covering all the essential concepts and techniques needed to automate web testing efficiently.
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Provides a practical introduction to Jenkins 2, focusing on the features that enable defining pipelines as code. It's excellent for understanding the fundamental shift in Jenkins towards pipeline-centric automation. It serves as a solid starting point for those new to modern Jenkins practices and useful reference for migrating older Jenkins jobs.
Is excellent for beginners to grasp the fundamental concepts of OOP and how to apply them. It covers basics like classes, objects, encapsulation, polymorphism, abstraction, and inheritance, as well as more advanced concepts such as composition, delegation, association, and aggregation. It helps readers think in terms of objects to solve problems and is particularly useful for those transitioning from procedural programming. This book great introductory text and can serve as a foundational resource before diving into more complex topics.
Focuses on integrating Jenkins with Docker to build effective CI/CD pipelines. It covers essential concepts of containerization and how to leverage Docker within a Jenkins workflow. This is highly relevant for understanding contemporary CI/CD practices and is valuable for both beginners and those looking to deepen their understanding of this integration.
Ideal for beginners who want to quickly apply Python to practical tasks. focuses on using Python to automate everyday computer tasks, such as working with files, web scraping, and sending emails. It assumes no prior programming experience and is highly regarded for its clear, step-by-step instructions and focus on immediate productivity gains. The second edition widely used and practical resource.
Focuses on teaching you how to think in terms of objects, which is crucial for effective OOP. It's an excellent resource for beginners, especially those with a background in procedural languages, to understand how to build complex systems using basic OOP concepts. It's considered a must-read for anyone starting their OOP journey and complements practical coding exercises well.
Delves into making your pytest usage more efficient and scalable as your test suite grows. It explores patterns and techniques for writing effective tests, managing dependencies with fixtures, and leveraging pytest's advanced features. It's suitable for those who have a basic understanding of pytest and want to deepen their knowledge and improve their testing practices.
Provides indispensable guidelines and best practices for writing robust, efficient, and well-designed programs in Java, a widely used object-oriented language. It covers various aspects of Java programming through a series of actionable 'items,' explaining what to do, what not to do, and why. While Java-specific, many of the principles and patterns discussed are applicable to OOP in general. The 3rd edition is updated to cover modern Java features. This highly recommended read for Java developers looking to deepen their understanding of effective OOP.
Provides a comprehensive guide to using Selenium and WebDriver for testing web applications. It covers all aspects of Selenium and WebDriver, from installation and setup to writing and executing tests.
While not exclusively about pytest, this book uses a practical, project-based approach to teach Test-Driven Development (TDD) in Python. It covers essential testing concepts and frameworks, including some that can be used with or alongside pytest, such as Selenium and Mock. It's highly recommended for understanding the 'why' behind testing and TDD, which is crucial context for using a framework like pytest effectively. The book is considered a classic in the Python testing community.
Is highly recommended for intermediate to advanced Python programmers looking to write more idiomatic and efficient code. It explores Python's often-overlooked features and best practices, delving into topics like data structures, the Python data model, and metaprogramming. It's a valuable resource for deepening understanding and is considered a must-read for those aiming for mastery.
This practical guide focuses on using WebDriver with real-world examples, providing hands-on experience and insights into advanced testing techniques.
Focuses on building end-to-end CI/CD pipelines with Jenkins, integrating various tools like Docker, Git, and Selenium. It provides practical solutions for setting up these processes. It is suitable for those looking for hands-on guidance in creating complete pipelines.
Practical guide to using Git for version control. It covers all the essential commands and concepts, and provides clear and concise explanations.
This guide is aimed at Jenkins administrators, covering installation, management, and scaling of Jenkins instances. It discusses setting up Jenkins in various environments and implementing best practices for a production-grade setup. This is particularly useful for professionals responsible for maintaining Jenkins infrastructure.
Demonstrates how to develop object-oriented software using a test-driven development (TDD) approach. It shows how writing tests first can guide the design of well-structured and maintainable object-oriented code. This book is highly practical and provides valuable insights into the synergy between TDD and object-oriented design. It's particularly useful for developers interested in agile methodologies and building robust software.
Delves into more advanced topics in Jenkins, focusing on scaling, configuration, and implementing complex CI/CD solutions. It is suitable for users who have a basic understanding of Jenkins and wish to deepen their knowledge. This good resource for advanced undergraduates, graduate students, and professionals.
Provides a practical introduction to machine learning using Python and the scikit-learn library. It's ideal for Python programmers interested in entering the field of machine learning and data science. It covers essential concepts and provides hands-on examples.
Is essential for understanding how to improve the design of existing codebases, a common task in software development. It provides a catalog of refactorings and explains how to apply them to make code more understandable, maintainable, and less prone to bugs. While not exclusively about OOP, many refactoring techniques are applied to object-oriented code to improve its structure and design. This book is highly practical and valuable for anyone working on real-world software projects.
Aims to take your pytest skills to the next level, covering advanced topics such as customizing test collection, using hooks, and developing plugins. It's ideal for users who are already comfortable with the basics of pytest and want to master its more powerful and flexible features for complex testing scenarios. It's a good resource for diving into contemporary and advanced pytest usage.
Offers a more accessible introduction to OOP using C++ compared to Stroustrup's book. It systematically introduces OOP principles alongside the C++ language features. It is often used as a textbook and is known for its clear explanations and numerous examples, making it suitable for beginners learning OOP with C++.
Focuses on practical object-oriented design principles using the Ruby programming language. It emphasizes creating flexible, maintainable, and well-designed code through clear explanations and realistic examples. While the examples are in Ruby, the design principles are broadly applicable to other object-oriented languages. This book is great for developers looking for a practical guide to writing better object-oriented code.
Focuses on a responsibility-driven approach to object-oriented design, emphasizing the roles, responsibilities, and collaborations of objects. It provides a practical methodology for designing object-oriented software by thinking about how objects interact. This book valuable resource for improving your object design skills and creating more flexible and understandable systems.
Similar to his C++ book, Lafore's book on OOP in Java provides a clear and step-by-step introduction to object-oriented concepts using the Java language. It's a good resource for beginners who want to learn OOP through practical Java examples. can serve as a solid starting point for understanding OOP fundamentals in a widely used language.
Introduces Domain-Driven Design (DDD), an approach to software development that focuses on creating an object-oriented model of the domain problem. It provides strategic and tactical patterns for designing complex systems by deeply understanding the business domain. This book is more advanced and is particularly relevant for those working on large and complex software projects where the domain logic is central. It's a valuable resource for experienced developers and architects.
This cookbook offers a collection of practical recipes and solutions for common challenges encountered in WebDriver testing, covering various aspects such as element handling, synchronization, and cross-browser testing.
Provides a comprehensive guide to testing Vue.js applications. It covers all aspects of Vue.js testing, from unit testing to end-to-end testing.
Aimed at beginners, this book introduces the core concepts of Continuous Integration and Continuous Delivery using Jenkins 2. It provides a gentle introduction to the key features and helps establish a foundational understanding. This is an excellent resource for high school and early undergraduate students or those new to the topic.
Provides a comprehensive guide to testing Angular applications. It covers all aspects of Angular testing, from unit testing to end-to-end testing.
Offers a collection of tips and tricks to help intermediate Python developers write more professional and Pythonic code. It provides concise explanations and practical examples of various Python features, making it a useful resource for leveling up coding skills and discovering best practices.
Given the frequent mention of Kubernetes in the course titles, this book is highly relevant for understanding the environment where Jenkins is often used for deploying applications. It provides a comprehensive introduction to Kubernetes concepts and practices. It's essential for those integrating Jenkins with container orchestration.
Offers a concise introduction to pytest, explaining not just how to use its features but also their purpose. It's a great starting point for beginners who want to quickly grasp the main concepts and pragmatic use of pytest for general testing needs. It covers basic tests, assertions, command line arguments, markers, parametrization, fixtures, and popular plugins.
Focuses specifically on applying object-oriented principles in Python 3. It covers core OOP concepts like classes, inheritance, and polymorphism within the context of Python's syntax and idioms. It's a practical guide for Python developers who want to write more structured and maintainable code using OOP. This book is suitable for those already familiar with Python basics and looking to incorporate OOP into their projects.
Provides a comprehensive introduction to object-oriented analysis and design using UML and design patterns within an iterative development process. It bridges the gap between theoretical concepts and practical application, guiding the reader through the process of building software systems. This book is often used as a textbook and good resource for students and practitioners learning how to apply OOP principles in a structured manner.
Takes a deeper dive into object-oriented programming in Python, covering more advanced topics and design patterns relevant to Python development. It explores how to use Python's features effectively for building robust and scalable object-oriented applications. This book is aimed at intermediate to advanced Python developers who want to master OOP techniques specific to the language.
This guide provides a collection of best practices, development workflows, and recommendations for writing idiomatic Python code. It's a valuable resource for developers who want to follow community conventions and improve their overall Python development process.
While focused on Java, this book covers DevOps tools and practices, including Jenkins, in the context of a Java development workflow. It provides practical examples of integrating Jenkins with other tools commonly used in Java projects. Useful for Java developers and teams using Jenkins.
Is specifically aimed at Python developers who want to adopt Test-Driven Development principles. It provides a solid understanding of TDD, a methodology that pairs well with pytest. While it might cover other testing tools, its focus on TDD provides an excellent foundation for leveraging pytest effectively within a TDD workflow.
While not solely focused on Jenkins, this foundational book on DevOps provides essential context for understanding why Jenkins and CI/CD are critical in modern software development. It covers the principles and practices that Jenkins helps enable. This is highly recommended for gaining a broad understanding of the landscape in which Jenkins operates.
This classic book on software testing provides a comprehensive overview of the field, including chapters on test automation. It great resource for anyone looking to learn more about the theory and practice of software testing.
Provides a comprehensive guide to testing mobile applications. It covers all aspects of mobile app testing, from planning and preparation to execution and reporting.
A collection of recipes for common Python programming tasks. is an excellent reference for experienced Python developers looking for practical solutions to a wide range of problems. It covers various domains and provides idiomatic Python code examples.
Concise and easy-to-use reference guide to Git. It covers all the essential commands and concepts, and great resource for quick lookups.
Provides a practical guide to unit test automation in Python, covering various libraries including pytest, unittest, and nose2. It helps in understanding the core concepts of software testing and their implementation in Python 3. While it covers other frameworks, the section on pytest is valuable for understanding its place in the Python testing ecosystem and learning practical automation techniques.

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