Use Google Colab + Jupyter Notebook I Implement the given outline of python with 3 examples of each data structure.

1. Python Introduction

1.1. Why Python?

1.2. Where it is used?

2. Data Types

2.1 Variables

2.1.1. Local variable

2.1.2. Global Variables

2.1.3. Global keyword

2.2 Numbers

2.2.1. Integer

2.2.2. Floating point

2.2.3. Complex

2.3 Strings

2.3.1. String Length

2.3.2. String Methods

2.3.3. Accesing the value of string

2.3.4. Update the String

2.3.5. String Special operators2.3.6. String Formatting operators

2.4 Lists

2.4.1. Create a List

2.4.2. Access values of List

2.4.3. Update the List

2.4.4. Addition in List

2.4.5. Deletion Methods in List

2.4.6. Reverse the List

2.4.7. List sorting

2.5 Dictionaries

2.5.1. Create a Dictionaries

2.5.2. Access the value of Dictionary

2.5.3. UPdate the Dictionary

2.5.4. Delete the Dictionary (All Methods)

2.5.5. Length of Dictionary

2.6 Tuples

2.6.1. Create a Tuples

2.6.2. Access the value of Tuples

2.6.3. UPdate the Tuples

2.6.4. Delete the Tuples (All Methods)

2.6.5. Length of Tuple

2.7 Sets

2.7.1. Create a Sets

2.7.2. Access the items of Sets

2.7.3. Add and Update items in Sets

2.7.4. Delete the Sets (All Methods)

3. Operators

3.1. Arithmetic Operators

3.2. Comarison Operators

3.3. Logical Operators

3.4. Assignment Operators

4. Conditional statements

4.1. If statement

4.2. if-else statement

4.3. if-else-if statement (Elif)

5. Loops

5.1. For loop5.2. Break statement

5.3. Continue statement

5.4. While loop

5.5. Nested loops

6. Functions

6.1. Create a Function

6.2. Calling a Function

6.3. Parameters in a Function

6.4. Default parameter in Function

6.5. Return in Function

7. Lambda Functions

7.1. Syntax of Lambda Function

7.2. Map()

7.3. filter()

7.4. Why, When and where it is used?

8. Arrays

8.1. Create, Access and Update Array

9. Class and objects

9.1. Create class and objects

10. File I/O

10.1. Reading input from keyboard

10.2.I/O from text file

10.2.1. Create a text file

10.2.2. Reading a file

10.2.3. write into a file

10.3. File position

10.4. Why, When and where File I/O is used?

11. Pandas Library Introduction

11.1. Read Dataset using Pandas

11.2. Why, When and where it is used?

12. Series

12.1. Create a series

12.2. From ndarray

12.3. From dict

12.4. From Scalar Value

12.5. series is ndarray-like

12.6. series is dict-like12.7. vectorized operations and label alignment with series

18.8. Why, When and where Series is used?

13. Data Frames

13.1. From dict of series or dicts

13.2. From dict of ndarrays /lists

13.3. From a list of dicts

13.4. From a dict of tuples

13.5. Alternate constructors

13.6. Cloumn Selection, Addition, and Deletion

16.6.1. Column Selection

16.6.2. Column Deletion

16.6.3. Column Insertion

13.7. Indexing/ Seletion

13.8. Data Allignment and arithmetic

13.9. Transposing

13.10 Why, When and where DataFrames is used?

14. Veiwing Data

14.1. Data viewing Methods