Module 1: Introduction to Python  

• What is Python?  

• Features and benefits of Python  

• Installing Python and IDE setup (IDLE, VS Code, PyCharm)  

• Writing and running your first Python program  

• Python syntax and indentation rules  

• Understanding comments and docstrings  

Module 2: Python Basics  

• Variables, Constants, and Data Types  

• Type conversion and casting  

• Input and Output functions  

• Operators (Arithmetic, Comparison, Logical, Assignment, Bitwise)  

• Expressions and Statements  

Module 3: Control Flow  

• Conditional statements (if, if-else, elif)  

• Loops (for, while)  

• break, continue, and pass statements  

• Nested loops and conditional statements  

Module 4: Data Structures in Python  

• Strings: indexing, slicing, methods, string formatting  

• Lists: creation, indexing, slicing, methods, list comprehensions  

• Tuples: properties, operations, unpacking  

• Sets: creation, methods, set operations  

• Dictionaries: key-value pairs, methods, looping through dictionaries  

Module 5: Functions  

• Defining and calling functions  

• Function arguments and return values  

• Default, keyword, and variable-length arguments  

• Lambda (anonymous) functions  

• Recursion in Python  

Module 6: Modules and Packages  

• Importing modules (math, random, datetime, etc.)  

• Creating and using custom modules  

• Python Package Index (PyPI) and using pip  

• Organizing code into packages  

Module 7: File Handling  

• Working with text files (open, read, write, close)  

• Reading and writing CSV files  

• Handling file paths  

• Exception handling during file operations  

Module 8: Exception Handling  

• Understanding runtime errors  

• try, except, else, finally blocks  

• Raising exceptions  

• Custom exceptions  

Module 9: Object-Oriented Programming (OOP)  

• Introduction to classes and objects  

• __init__ method and constructors  

• Instance and class variables  

• Inheritance and polymorphism  

• Method overriding  

• Encapsulation and abstraction  

Module 10: Advanced Concepts  

• Iterators and Generators  

• Decorators  

• Comprehensions (List, Dict, Set)  

• Working with Virtual Environments  

Module 11: Working with Libraries  

• Overview of important libraries:  

• NumPy (basic operations, arrays)  

• Pandas (data manipulation)  

• Matplotlib (basic plotting)  

Module 12: Project Work  

• Mini projects combining all learned concepts, such as:  

• File organizer app  

• Student management system  

• Simple calculator or expense tracker