Python Course in Delhi
                     Python Course in Delhi
1. Introduction
 What is Python?
 Features of Python
 History and applications
 Installing Python
 Setting up IDE (like VS Code, PyCharm)
2. Basics of Python
 Writing the first Python program
 Python syntax and indentation
 Comments
 Input and output
 Variables and basic data types
3. Operators
 Arithmetic operators
 Relational operators
 Logical operators
 Bitwise operators
 Assignment operators
 Operator precedence
4. Data Types & Type Conversion
 Integer
 Float
 String
 Boolean
 Type casting and conversion
 Memory allocation of objects
5. Strings
 Creating and accessing strings
 String indexing and slicing
 String methods and functions
 Formatting strings
6. Lists
 Creating lists
 Accessing elements
 Adding, removing, updating elements
 List methods
7. Tuples
 Creating tuples
 Tuple characteristics
 Accessing elements
 Tuple operations
8. Dictionaries
 What are dictionaries?
 Creating and accessing dictionary elements
 Adding and removing items
 Dictionary methods
9. Sets
 Creating sets
 Set characteristics
 Set operations (union, intersection, difference)
10. Control Flow
 If statements
 If-else
 Elif ladder
 Nested conditions
 Conditional expressions
11. Loops
 While loop
 For loop
 Loop control statements: break, continue, pass
 Nested loops
12. Functions
 Defining functions
 Function arguments
 Return values
 Default and keyword arguments
 Variable scope
 Lambda functions
 Recursion
13. Modules and Packages
 What is a module?
 Importing modules
 Python standard library overview
 Creating your own modules
 Using packages
14. Exception Handling
 Errors vs. exceptions
 Try, except blocks
 Finally and else clauses
 Raising exceptions
15. File Handling
 Opening and closing files
 Reading from a file
 Writing to a file
 Working with file modes
 Handling file exceptions
16. Object-Oriented Programming (OOP) in 
Python
 Classes and objects
 Attributes and methods
 Constructors
 Inheritance
 Polymorphism
 Encapsulation
 Abstraction
17. Comprehensions
 List comprehensions
 Dictionary comprehensions
 Set comprehensions
18. Standard Library Overview
 Math module
 Random module
 OS module
 Sys module
 Time module
19. Working with External Libraries
 Installing packages using pip
 Examples: NumPy basics
20. Mini Projects & Practice
 Calculator program
 To-do list application
 Basic file organizer
 Data analysis project (optional)
 Web scraping basics (optional)
21. Final Assessment
 Written test
 Practical coding assignments
 Project submission & evaluation