Introduction to Python

• Overview of Python and its applications
• Installing Python and setting up the environment
• Writing and running your first Python program

Basic Python Concepts

• Variables and data types (integers, floats, strings, booleans)
• Operators (arithmetic, comparison, logical)
• Input and output functions (input(), print())

Control Flow

• Conditional statements (if, elif, else)
• Looping structures (for loops, while loops)
• Break, continue, and pass statements

Functions and Modules

• Defining functions with def
• Function arguments and return values
• Importing and using modules (math, random, custom modules)

Data Structures

• Lists, tuples, and sets
• Dictionaries: keys and values
• List comprehensions and dictionary comprehensions

File Handling

• Reading and writing files (open(), read(), write(), close())
• Working with CSV and JSON files

Exception Handling

• Understanding errors and exceptions
• Using try, except, finally for error handling

Object-Oriented Programming (OOP)

• Classes and objects
• Constructors (__init__ method)
• Inheritance and polymorphism

Working with Libraries

• Introduction to popular Python libraries (NumPy, Pandas, Matplotlib)
• Basic data manipulation and visualization

Final Project

• Applying learned concepts to a real-world project
• Writing clean, efficient, and well-documented code

Conclusion

• Review and next steps in Python learning
• Exploring advanced topics (web development, data science, automation)

This self-paced course ensures flexibility while covering all essential Python concepts from beginner to advanced levels! 🚀