Python Made Easy for Beginners

Beginners to Advanced Python Course for Beginners (Check course contents for more details)

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Description

This Python Made Easy for Beginners course covers the below topics:

  1. Introduction to Python

  2. Downloading, Installing and Configuring Python

  3. Downloading, Installing and Using PyCharm IDE

  4. Print Statements

  5. Variables

  6. Data Types

  7. Type Casting

  8. Operators

  9. Comments

  10. Operator Precedence

  11. Deleting a Variable

  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

  16. Control Flow Statements

  17. Select/Decision Control Statements

  18. while loop

  19. for loop with range()

  20. break and continue statements

  21. Functions - Getting Started

  22. Functions 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. Using input() inbuilt function

  30. max() and min() functions

  31. Local and Global Variables

  32. pass Statement

  33. Collections

  34. List

  35. Tuple

  36. Set

  37. Dictionary

  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

  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

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

  48. Inheritance

  49. Types of Inheritance

  50. Polymorphism - Method Overriding

  51. Overloading is not supported by Python

  52. super()

  53. Private variables and Private methods

  54. Using Getter and Setter Methods with private variables

  55. Encapsulation in Python

  56. Abstraction in Python

  57. Modules

  58. Packages

  59. Exception Handling

  60. Lambda Functions

  61. Using *args

  62. Using **kwargs

  63. Unpacking Collections or range() into individual variables

  64. Complex Data Type

  65. range Data Type

  66. Complete List of Data Types

  67. Generating Random Numbers

  68. Escape Characters

  69. Using bool() function

  70. Short Hand if and if ..else statements

  71. Using iter() function with List, Tuple, Set and Dictionary

  72. Date and Time

  73. Regular Expressions

What You Will Learn!

  • Python from Basics to Advanced
  • Python Programming Language
  • Python for Beginners
  • Python from Scratch

Who Should Attend!

  • Python Beginners from any field
  • Python required for Software Testers
  • Python required for learning Selenium Automation Tool