Selenium Python: Beginners to Advanced [Live Project]

This is a detailed course on Selenium Python, starting from basics including all the pre-requisites required for learning Selenium. This course starts with the below introduction topics:

1. What is Manual Testing?

2. What is Automation Testing?

3. How can an Automation Tool perform Testing?

4. What is Selenium?

5. Types of Applications that Selenium can Automate?

6. Official Website of Selenium

7. Is Selenium free or paid?

8. Is Selenium is Open Source?

9. Different Browsers supported by Selenium

10. Different Operating Systems supported by Selenium

11. Different Programming Languages supported by Selenium

12. Different Components in Selenium

13. Different versions of Selenium

14. Finding out the Future of Selenium using ChatGPT AI

15. Pre-requisites required for learning Selenium

Some basic knowledge of Software Testing is required for understanding this course. The below are the different topics on Software Testing that are covered in this course:

1. What is Software Testing?

2. How Testing is performed manually?

3. Why we have to go for automation testing?

In this course, we have to learn Python programming language as a pre-requisite for automating in Selenium. The below are the different topics on Python programming language that are covered in this course:

1. Introduction to Python

2. Downloading, Installing and Configuring Python

3. Downloading, Installing and Using PyCharm IDE

4. Printing in Python using Print statements

5. Variables in Python

6. Data Types in Python

7. Type Casting in Python

8. Operators in Python

9. Comments in Python

10. Operator Precedence in Python

11. Deleting a variable in Python

12. Using + for String concatenation

13. Storing Multi-line preformatted String text into a variable

14. Storing a lengthy text into a variable

15. Formatting Print statements in Python

16. Control Flow Statements in Python

17. Selection/Decision Control Statements in Python – if, else, elif

18. while loop in Python

19. for loop with range() in Python

20. break and continue statements in Python – Transfer/Jump Statements

21. Functions – Getting started

22. Function can be called multiple times

23. Parameterizing functions

24. Default Arguments in functions

25. Function with multiple parameters

26. Functions can return data

27. Purpose of functions

28. Multiple functions can be created

29. Collecting input from User using input() in-built function

30. max() and min() in-built functions in python

31. Local and Global Variables in Python

32. pass statement in Python

33. Collections in Python

34. List – Collections

35. Tuple – Collections

36. Set – Collections

37. Dictionary – Collections

38. List Versus Tuple Versus Set Versus Dictionary

39. Strings

40. in and not in operators

41. File Handling

42. Getting started with Object Oriented Programming – Classes and Objects

43. self in Python

44. Assigning method parameters to class variables using self keyword

45. Initializing Class Variables using methods in Python

46. __init__ method in Python

47. Static Variables, Static Methods, Instance Variables, Instance Methods

48. Inheritance

49. Types of Inheritance

50. Polymorphism – Method Overriding

51. Overloading Methods is not directly supported by Python

52. super() in Python

53. Private Variable and Private Methods in Python

54. Using Getter and Setter Methods with private variables in Python

55. Encapsulation in Python

56. Abstraction in Python – Abstract Classes and Abstract Methods

57. Modules in Python

58. Packages in Python

59. Exception Handling in Python

60. Lambda function in Python

61. Using *args in Python

62. Using **kwargs in Python

63. Unpacking Collections or range() into individual variables

64. Complex Data Type in Python

65. range Data Type in Python

66. Complete List of Data Types in Python

67. Generating Random numbers in Python

68. Escape Characters in Python

69. Using bool() function in python for evaluating values as True or False

70. Short Hand if and if .. else Statements in Python

71. User iter() function in Python with List, Tuple, Set and Dictionary

72. Date and Time in Python

73. Regular Expressions in Python

Basic knowledge of HTML is required for understanding locators which help Selenium in finding web elements on the web page. The below are the different topics on HTML Basics covered in this course:

1. What is HTML?

2. HTML Tags, Attribute Names, Attribute Values, enclosed Text and HTML Elements

3. Structure of HTML

4. Adding Title to the HTML Web Page

5. Adding Paragraphs to HTML Web Page

6. Adding Bold, Italic and Underlined text to HTML Web Page

7. Adding different sizes of headings

8. Adding hyperlinks to the web page

9. Adding rulers to the web page

10. Adding images to web page

11. Adding line breaks to web page

12. Adding table to web page

Locators is one of the pre-requisite we have to learning for learning Selenium. There are different types of locators which help Selenium in finding the elements on the web page. The below are the different topics on locators which are covered in this course:

1. What are Locators?

2. Different types of Locators

3. Demonstrating ID locator

4. Demonstrating Name Locator

5. Demonstrating Class Name locator

6. Demonstrating Link Text locator

7. Demonstrating CSS Selector locator

8. Demonstrating XPath locator

9. Demonstrating DOM locator

10. Priority of Locators

11. XPath Expressions in detail

12. CSS Selecorts in detail

13. SelectorsHub

14. XPath Expressions and CSS Selectors in detail

Selenium WebDriver is the main component of Selenium, which needs to be learnt for Selenium Automation. The below are the detailed topics which are covered in this course as part of Selenium WebDriver:

1. Downloading, Installing and Configuring Python

2. Installing, Launching and using PyCharm IDE

3. Installing Selenium for Python

4. Opening different browsers using Selenium Python on Windows

5. Maximizing the browser window

6. Opening the Application URL in Browser

7. Minimizing the browser window

8. Finding element using different locators

9. Clicking on different types of Web Elements

10. Typing text into Text Fields

11. Storing the Element to perform multiple operations on same element

12. Clearing the text from Text Fields

13. Retrieving the text between HTML tags

14. Retrieving the title of the current web page

15. Retrieving the URL of the current web page

16. Closing the current browser window

17. Closing all the browser windows

18. Retrieving the value of any HTML elements attribute

19. Checking whether the element is displayed on the page

20. Checking the display status of hidden elements on the page

21. Checking whether the element is enabled or disabled

22. Checking the selection status of radio buttons and check box fields

23. Navigate forward and backward in Browser

24. Refreshing the Web Page

25. View the Web Page in Full Screen Mode

26. Set the size of a window

27. Submitting the form

28. Taking screen-shot of the web page

29. Retrieving the HTML tag name of Web Element on Page

30. Finding the size of the web element

31. Finding the location of the Web Element

32. Finding both size and location of the Web Element

33. Setting page load time out for the website to open

34. Finding multiple elements on the web page

35. Finding element or elements using Tag Name

36. Handling JavaScript Alerts

37. Handling JavaScript Confirmation Dialogs

38. Handling JavaScript Prompts

39. Handling Authentication Popups

40. Handling Application Web Push Notifications (Permission Pop-ups)

41. Handling Bootstrap Dropdown

42. Handling JQuery dropdown

43. Handling Radio buttons and checkbox fields

44. Handling Hyperlinks

45. Handling StaleElementReferenceException

46. And many more topics

Along with the above, several topics like PyTest, Utilities, Frameworks, Jenkins, Git, GitHub, BDD Behave and Selenium Grid are covered in-depth from scratch to the advanced level in this course.

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