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Why Python?
✔️ Beginner-Friendly Language
Python’s readable syntax and simple structure make it one of the easiest programming languages to learn and master.
✔️ Ideal for AI and Machine Learning
Python is the most popular language for AI, ML, and deep learning projects, used by leading tech companies worldwide.
✔️ Versatile Across Domains
From web apps to AI, Python is used in diverse domains including automation, finance, and scientific computing.
✔️ Strong Community Support
Python has a huge, active developer community, offering help, resources, and collaboration opportunities globally.
Course Structure
➤ What Is Programming language?
➤ Brief History Of Programming
➤ Uses Of Programming language
➤ Advantages Of Programming Language
➤ Why Python?
➤ Difference Between C,C++,Java and Python
➤ Features Of Python
➤ Installation And Environment Settings
➤ Writing And Executing Python Programs In IDLE
➤ What Are Keywords In Python?
➤ Uses Of Keywords In Python
➤ What are Data types in Python?
➤ Text Type
➤ Numeric Type
➤ Sequence Type
➤ Mapping Type
➤ Set Type
➤ Boolean Type
➤ Binary Type
➤ What are operators ?
➤ Arithmetic Operators
➤ Logical Operators
➤ Relational Operators
➤ Bitwise Operators
➤ Assignment Operators
➤ Membership Operators
➤ Identity Operators
➤ What is Control statement?
➤ How to use control statements?
➤ Decisional Statements
➤ Looping Statements
➤ Break ,Continue And Pass
➤ What is An Array In Python?
➤ How To Access Array Items?
➤ How To Add Items In Array
➤ How To Remove Items in Array
➤ How To Loop Arrays?
➤ How To Copy Arrays?
➤ Array Built In Methods
➤ String Introduction
➤ Objects in String
➤ Important Methods in String
➤ Splitting and Joining String
➤ List Introduction
➤ Important Methods in List
➤ Nested List
➤ List Comprehension
➤ Tuples Introduction
➤ Built in Methods in Tuples
➤ Operations In Tuples
➤ Access Tuple Items
➤ Update Tuples
➤ Unpack Tuples
➤ Loop Tuples
➤ Join Tuples
➤ Sets Introduction
➤ Built in Methods in Sets
➤ Operations In Sets
➤ Access Set Items
➤ Add Set Items
➤ Loop Sets
➤ Join Sets
➤ Dictionary Introduction
➤ Built in Methods in Dictionary
➤ Operations In Dictionary
➤ Loop Dictionaries
➤ Copy Dictionaries
➤ What is Python Slicing?
➤ How to use slice() function?
➤ Negative indexing in Slicing
➤ What are comprehensions?
➤ List comprehensions
➤ Set comprehensions
➤ Dictionary Comprehensions
➤ What are Functions?
➤ Types Of Functions
➤ Return Statement
➤ Calling A Function
➤ Arguments
➤ Parameters
➤ Positional Arguments
➤ Keyword Arguments
➤ User Defined Functions
➤ Nested Functions
➤ Packing Individual Data
➤ Unpacking Iterables/Sequences
➤ “From” Keyword
➤ Import” Keyword
➤ “As” Keyword
➤ What is OOPS?
➤ Uses Of OOPS
➤ Class
➤ Objects
➤ Inheritance
➤ Polymorphism
➤ Encapsulation
➤ Abstraction
➤ Global Variables
➤ Local Variables
➤ Difference between global and local variable
➤ What is File Handling?
➤ “with” keyword
➤ How To Open A File Using Python
➤ File Attributes And Methods
➤ Read From A File
➤ Write Into A File
➤ Intro to Decorators
➤ Types-Inbuilt And User Defined
➤ Parameterized Decorators
➤ Intro to Generators
➤ Features Of A Generator
➤ Yield v/s Return
➤ What is Iterator?
➤ Types Of Iterator
➤ Inbuild Methods In Iterator
➤ Infinite Iterators
➤ Custom Iterators
➤ What is Exception Handling?
➤ Try
➤ Except And Final
➤ Custom Exceptions
➤ Assertions
➤ What is Threading?
➤ What is Multi Threading?
➤ Why Multi Threading?
➤ Examples In Multi Threading
➤ What Is Anonymous Function?
➤ What Is Lambda Function?
➤ What Is Map Function?
➤ What Is Filter Function?