🐍 Python Programming – Course Overview (For LMS Portal)

📘 Course Title:

Python Programming for Beginners

🎯 Course Objective:

This course introduces learners to Python programming from the ground up, focusing on core concepts like syntax, data types, operators, control structures, functions, file handling, and object-oriented programming. Ideal for beginners, students, and working professionals aiming to build a foundation in programming or automation.

👥 Target Audience:

• Beginners in programming

• IT support/administration professionals

• Students pursuing engineering/computer science

• Anyone looking to automate tasks or start data-related careers

🕒 Course Duration:

~25 hours (including videos, quizzes, and hands-on exercises)

📚 Course Modules & Content

🔹 Module 1: Introduction to Python

• What is Python?

• History and Features of Python

• Installing Python and Setting up IDE (VS Code / PyCharm)

• Writing and Executing Your First Python Program

• Understanding the Python Interpreter

• Use Cases of Python (Web, Data, AI, Scripting)

🔹 Module 2: Python Syntax and Basic Structure

• Comments in Python

• Indentation Rules

• Writing Clean Python Code

• Using print() and input() Functions

🔹 Module 3: Variables and Data Types

• Declaring Variables

• Dynamic Typing

• Built-in Data Types:

  • Numbers (int, float, complex)

  • Strings (str)

  • Boolean (bool)

  • NoneType

• Type Conversion and Type Casting

• The type(), id(), and isinstance() Functions

🔹 Module 4: Operators in Python

• Arithmetic Operators (+, -, *, /, //, %, **)

• Comparison Operators (==, !=, >, <, >=, <=)

• Assignment Operators (=, +=, -=, etc.)

• Logical Operators (and, or, not)

• Bitwise Operators (&, |, ^, ~, <<, >>)

• Identity Operators (is, is not)

• Membership Operators (in, not in)

🔹 Module 5: Conditional Statements

• if Statement

• if-else Statement

• if-elif-else Statement

• Nested Conditions

• Practical Examples

🔹 Module 6: Loops and Iteration

• while Loop

• for Loop

• range() Function

• break, continue, pass Statements

• Looping with Lists, Tuples, and Strings

🔹 Module 7: Data Structures – Collections

• Lists

• Tuples

• Dictionaries

• Sets

• Built-in Methods for Each Type

🔹 Module 8: Functions in Python

• Defining Functions with def

• Function Arguments and Return Values

• Keyword & Default Arguments

• *args and **kwargs

• Lambda Functions

🔹 Module 9: File Handling

• Opening and Closing Files

• Reading and Writing Text Files

• Working with CSV Files

• File Modes (r, w, a, rb, etc.)

• Using with Statement for File Management

🔹 Module 10: Exception Handling

• Types of Errors

• Try-Except Block

• else, finally Clauses

• Raising Exceptions Manually

• Common Exceptions (ValueError, IOError, etc.)

🔹 Module 11: Object-Oriented Programming (OOP)

• Classes and Objects

• Constructors (__init__)

• Instance vs Class Variables

• Inheritance

• Encapsulation and Abstraction

• Polymorphism

🔹 Module 12: Standard Libraries & Modules

• math, random, datetime, os, sys

• Creating Custom Modules

• import and from-import Syntax

🔹 Module 13: Final Project

• Real-world project integrating concepts learned (e.g., basic ATM system, contact manager, quiz app)

📝 Assessment

• Quizzes after each module

• Final project submission

• Certificate of Completion