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What is Python Programming?
Install Python On Centos 7 & 8
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Python Basics
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Python Syntax
Python Variables
Python Constants
Python Data Types
Python Numbers
Python Strings
Python Boolean
Control Flows
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Python Ifâ¦Elifâ¦Else Statements
Python For Loop
Python While Loop
Non-Pri DataTypes
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Python List
Python List Iteration
Python List Methods
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Python List append()
Python List Extend()
Python List insert()
Python List remove()
Python List pop()
Python List index()
Python List count()
Python List Sort()
Python List reverse()
Python List copy()
Python List clear()
Python Tuples
Python Sets
Python Set Methods
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Python set add()
Python Set update()
Python set copy()
Python set clear()
Python set difference()
Python Set difference_update()
Python set discard()
Python Set Intersection()
Python set intersection_update()
Python Set isdisjoint()
Python Set issubset()
Python Set issuperset()
Python Set pop()
Python Set remove()
Python Set symmetric_difference()
Python Set symmetric_difference_update()
Python Set union()
Python Dictionary
Python Dictionary Methods
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Python Dict Get()
Python Dict update()
Python Dict clear()
Python Dict copy()
Python Dict items()
Python Dict keys()
Python Dict values()
Python Dict fromkeys()
Python Dict pop()
Python Dict popitem()
Python Dict setdefault()
Python Functions
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What is a Function?
Function Arguments
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Positional Arguments
Default Arguments
Keyword Arguments
Python Built-in Functions
Recursive Function
Lambda Functions
File Handling
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What is File Handling?
Read Files
Write Files
Delete Files
OOPs
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Python OOP Concepts
Classes and Objects
Polymorphism
Inheritance
Encapsulation
Constructors
Destructors
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Python OOP Concepts
I. Python Class
II. Python Objects
Python OOP Advanced Examples
I. Python Inheritance
II. Python Polymorphism
III. Python Encapsulation
Advantages of Python OOP Concepts
I. Modularity
II. Reusability
III. Ease of Maintenance
Python Classes and Objects
Syntax of Class Declaration
Syntax of Object Declaration
I. Create a simple class
II. Create a simple Object
III. Retrieving Attributes Using Class and Object
Terms Used with Class and Object
I. Pass Statement
II. __init__() method
III. __str__() method
Class and Object Advanced examples
Python Polymorphism
Python Polymorphism Syntax
I. Python Inbuilt Polymorphic Function
II. Python Polymorphism in Class Methods
Python Polymorphism Advanced Examples
I. Polymorphism with Inheritance
II. Polymorphism using Method Overriding
III. Exception Handling with Polymorphism
Advantages of Polymorphism
I. Code Reusability
II. Flexibility
Python Inheritance
Python Inheritance Syntax
I. Create a Parent Class
II. Create a Child Class
Python Inheritance Types
I. Single Inheritance In Python
II. Multiple Inheritance In Python
III. Multilevel Inheritance
IV. Hierarchical Inheritance
V. Hybrid Inheritance
Python Inheritance Advanced Examples
Python Encapsulation
Python Encapsulation Syntax
I. Syntax of Public Members
II. Syntax of Protected Members
III. Syntax of Private Members
I. Python Encapsulation
II. Access Modifiers in Encapsulation
Python Encapsulation Advanced Examples
I. Getters and Setters in Encapsulation
II. Exception Handling with Encapsulation
Advantages of Encapsulation
Python Constructors
Syntax of Constructor
Python Constructors Types
I. Default Constructor
II. Parameterized Constructor
Python Constructors Advanced Examples
I. Multiple Constructors in a Single Class
II. Python Constructors Advanced Techniques
III. Exception handling with Constructors
Advantages of using Constructors
I. Initialization
Python Destructors
Syntax of Destructors
I. Destructors with del Statement
II. Invoking Destructor at the End of Program
III. Using destructor in Circular Reference
Python Destructors Advanced Examples
I. Destruction in recursion
II. Exception handling with Destructors
Difference between Constructor and Destructor
I. Python Destructors
II. Python Constructors
Python Regex
Python Regex Syntax
I. Python RegEx Module
II. MetaCharacters in RegEx
Python RegEx Advanced Examples
I. Python RegEx Functions
II. Match Object in RegEx
III. Exception Handling with RegEx
Python RegEx Advantages
I. Flexibility
II. Efficiency
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