Topics Cover in this Video with Example :-

Python Programming Language
• Introduction
• Basic Syntax
• Indentation

• Variables
1. Creating Variable
2. Get the Type
3. Type Casting
4. Case Sensitive
5. Variable Naming
6. Legal and Illegal Variable
7. Global Variables
8. Local Variable

• Operators
1. Introduction
2. Types of Operators
3. Arithmetic Operator
4. Logical Operator
5. Comparison Operator

• Conditional Statement
1. If Statement
2. Elif Statement
3. Else Statement
4. If Else Statement
5. IF Elif Else Statement
6. IF Elif Elif Else Statement

• Loops
1. For Loop
2. While Loop
3. For Loop Break Statement
4. For loop Continue Statement
5. Nested Loop

• Functions
1. Creating a Function
2. Calling a Function
3. Parameter
4. Arguments

• Lambda Function
• Filter
• Map
• Reduce

• String
1. String Behave like Arrays
2. Looping Through a String
3. String length
4. Check Word in string
5. Positive Indexing
6. Negative Indexing
7. Slicing
8. Modify String
a) Uppercase
b) Lowercase
c) Remove
d) Strip
e) Replace
f) Split
g) Concat
h) Format

• List
1. Creating a List
2. List Ordered concept
3. Allow Duplicates
4. Changeable
5. List Length
6. Data Types in List
7. List Constructor
8. Positive indexing
9. Negative Indexing
10. Change List items
11. Insert Items
12. Append Items
13. Extend List
14. Remove
15. Pop
16. Clear List
17. Loop in a List
18. List Comprehension
19. Sorting in list
20. Copt List
21. Concatenation

• Tuples
1. Creating a Tuple
2. Tuple Items
3. Ordered
4. Unchangeable
5. Allow Duplicates
6. Tuple Length
7. One Tuple Item Problem
8. Tuple Constructor
9. Access Tuple Items
10. Positive and Negative Indexing
11. Update Tuples with list
12. Add Items
13. Loops in Tuple

• Sets
1. Introduction
2. Creation
3. Order and unorder Concept
4. Changeable And Unchangeable
5. Duplicates allow not allow
6. Length in a Set
7. Set Constructor
8. Access Set Items
9. Add Set Items Method
10. Remove Set Items
11. Clear Set
12. Loop In a Set

• Dictionary
1. Introduction
2. Creation
3. Duplicates Not Allowed
4. Access Dictionary items
5. Get Keys
6. Return Values
7. Change Items
8. Update Dictionary
9. Add Dictionary Items
10. Remove Items
11. Loop In a Dictionary
12. Nested Dictionary
13. Access Items in Nested Dictionaries

• Exception Handling
1. Introduction
2. Exceptions in Python
a) Index Error
b) Key Error
c) Value Error
d) Attribute Error
e) IO Error
f) Zero Division Error
g) Import Error

3. Try and Except
4. Finally Clause
5. Raising Custom Errors

• Object Oriented Programming
1. Introduction
2. Class
3. Object
4. Self Parameter
5. Constructors
6. Types of Constructor
a) Parameterized constructor
b) Default Constructor
7. Polymorphism in python
8. Encapsulation in python
9. Inheritance in python

• Numpy Library
1. Introduction
2. Numpy vs Python List
3. Installing
4. Importing
5. Creating Numpy Array
6. Dimension in Array
7. 2 D Array
8. 3 D Array
9. N D Array
10. Use of ndim
11. Use of ndmin
12. Special Numpy Array
a) Zeros
b) Ones
c) Range
d) Diagonal
13. Create Numpy Array With Random Number
a) rand()
b) randn()
c) ranf()
d) randint()
14. Arithmetic Operation
a) add
b) subtract
c) multiply
d) divide
e) mod
f) power
15. Basic Numpy Function
a) min
b) max
c) argmin
d) argmax
e) sqrt
f) cumsum
16. Shape
17. Reshape
18. 2D , 3D Reshape
19. Indexing and Slicing in Numpy Array
20. 2D Array Indexing and Slicing
21. 3D Array Indexing and Slicing
22. Iterating Numpy array
23. Copy Vs View
24. Array Function
a) Concatenate
b) Split Array
c) Search Array
d) Search Sorted Array
e) Sort Array

• Pandas Library
1. Introduction
2. Series
3. DataFrame
4. DataFrame with Different Data Types
5. Reading Data
6. head()
7. tail()
8. .columns
9. .shape
10. .describe()
11. .unique()
12. Minimum
13. Maximum
14. Standard Deviation
15. Mean Average
16. Null Value Handling
17. Duplicate Value Handling
18. Fill Value
19. Drop Value
20. Group By
21. Merge Function With Different Methods
22. Data Indexing and Selection
a) With Column name
b) Location .loc[]
c) Index Location .iloc[]

• Matplotlib
1. Introduction
2. Bar Plot
3. Line Plot
4. Pie Plot
5. Histogram plot
6. Scatter plot
7. Stem plot
8. Step plot
9. Box Plot
10. Heat Map

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These All topics Cover in this video

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