Python Made Easy for Beginners

Python Made Easy for Beginners, available at $64.99, has an average rating of 4.9, with 117 lectures, based on 5 reviews, and has 27 subscribers.

You will learn about Python from Basics to Advanced Python Programming Language Python for Beginners Python from Scratch This course is ideal for individuals who are Python Beginners from any field or Python required for Software Testers or Python required for learning Selenium Automation Tool It is particularly useful for Python Beginners from any field or Python required for Software Testers or Python required for learning Selenium Automation Tool.

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Summary

Title: Python Made Easy for Beginners

Price: $64.99

Average Rating: 4.9

Number of Lectures: 117

Number of Published Lectures: 117

Number of Curriculum Items: 117

Number of Published Curriculum Objects: 117

Original Price: $19.99

Quality Status: approved

Status: Live

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

Target Audiences

Python Beginners from any field

Python required for Software Testers

Python required for learning Selenium Automation Tool

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

Course Curriculum

Chapter 1: Introduction to Python

Lecture 1: Introduction to Python

Lecture 2: Downloading, Installing and Configuring Python

Lecture 3: Downloading, Installing and Using PyCharm IDE

Lecture 4: Printing in Python using Print statements

Chapter 2: Variables

Lecture 1: Variables in Python

Chapter 3: Data Types

Lecture 1: Data Types in Python

Lecture 2: Type Casting in Python

Chapter 4: Operators

Lecture 1: Operators in Python

Chapter 5: Other Topics

Lecture 1: Comments in Python

Lecture 2: Operator Precedence in Python

Lecture 3: Deleting a variable in Python

Lecture 4: Using + for String concatenation

Lecture 5: Storing Multi-line preformatted String text into a variable

Lecture 6: Storing a lengthy text into a variable

Lecture 7: Formatting Print statements in Python

Chapter 6: Control Flow Statements

Lecture 1: Control Flow Statements in Python

Lecture 2: Selection/Decision Control Statements in Python – if, else, elif

Lecture 3: while loop in Python

Lecture 4: for loop with range() in Python

Lecture 5: break and continue statements in Python – Transfer/Jump Statements

Chapter 7: Functions

Lecture 1: Functions – Getting started

Lecture 2: Function can be called multiple times

Lecture 3: Parameterizing functions

Lecture 4: Default Arguments in functions

Lecture 5: Function with multiple parameters

Lecture 6: Functions can return data

Lecture 7: Purpose of functions

Lecture 8: Multiple functions can be created

Chapter 8: Other Topics

Lecture 1: Collecting input from User using input() in-built function

Lecture 2: max() and min() in-built functions in python

Lecture 3: Local and Global Variables in Python

Lecture 4: pass statement in Python

Chapter 9: Collections

Lecture 1: Collections in Python

Lecture 2: List – Collections

Lecture 3: Tuple – Collections

Lecture 4: Set – Collections

Lecture 5: Dictionary – Collections

Lecture 6: List Versus Tuple Versus Set Versus Dictionary

Chapter 10: Strings

Lecture 1: Strings

Chapter 11: Other Topics

Lecture 1: in and not in operators

Chapter 12: File Handling

Lecture 1: File Handling

Chapter 13: Object Oriented Programming

Lecture 1: Getting started with Object Oriented Programing – Classes and Objects

Lecture 2: self in Python

Lecture 3: Assigning method parameters to class variables using self keyword

Lecture 4: Initializing Class Variables using methods in Python

Lecture 5: __init__ method in Python

Lecture 6: Static Variables, Static Methods, Instance Variables, Instance Methods

Lecture 7: Inheritance

Lecture 8: Types of Inheritance

Lecture 9: Polymorphism – Method Overriding

Lecture 10: Overloading Methods is not directly supported by Python

Lecture 11: super() in Python

Lecture 12: Using Getter and Setter Methods with private variables in Python

Lecture 13: Private Variable and Private Methods in Python

Lecture 14: Encapsulation in Python

Lecture 15: Abstraction in Python – Abstract Classes and Abstract Methods

Chapter 14: Modules

Lecture 1: Modules in Python

Chapter 15: Packages

Lecture 1: Packages in Python

Chapter 16: Exception Handling

Lecture 1: Exception Handling in Python

Chapter 17: Lambda function

Lecture 1: Lambda function in Python

Chapter 18: Other Topics

Lecture 1: Using *args in Python

Lecture 2: Using **kwargs in Python

Lecture 3: Unpacking Collections or range() into individual variables

Lecture 4: Complex Data Type in Python

Lecture 5: range Data Type in Python

Lecture 6: Complete List of Data Types in Python

Lecture 7: Generating Random numbers in Python

Lecture 8: Escape Characters in Python

Lecture 9: Using bool() function in python for evaluating values as True or False

Lecture 10: Short Hand if and if .. else Statements in Python

Lecture 11: User iter() function in Python with List, Tuple, Set and Dictionary

Lecture 12: Date and Time in Python

Lecture 13: Regular Expressions in Python

Chapter 19: Interview Questions

Lecture 1: What is Python? (Python Interview Question # 1)

Lecture 2: Is Python an Object Oriented Programming Language? (Python Interview Question #

Lecture 3: What is the command for finding Python Version installed in your machine? (Pytho

Lecture 4: How to run Python files from command line? (Python Interview Question # 4)

Lecture 5: How to write and run Python code from command line? (Python Interview Question #

Lecture 6: Is Python an interpreted programming language? (Python Interview Question # 6)

Lecture 7: How Python syntax is different from other programming languages? (Python Intervi

Lecture 8: Is Python platform independent programming language? (Python Interview Question

Instructors

Arun Motoori
Software Testing Blogger & Trainer

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5 stars: 4 votes

Frequently Asked Questions

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