Python Programming Language

Python Programming Language – Full Syllabus

Course Overview

This course provides a comprehensive introduction to Python programming. It begins with basic syntax and builds up to advanced concepts such as object-oriented programming, data handling, automation, and web development. Students will gain the ability to write clear, efficient, and maintainable Python code.

Module 1: Introduction to Python

What is Python? History and features

Installing Python & using IDEs (IDLE, VS Code, PyCharm)

Writing and executing Python scripts

Understanding the interpreter

Comments & coding style (PEP 8)

Module 2: Python Basics

Variables and data types

Input and output

Operators (arithmetic, comparison, logical, bitwise)

Type casting

Basic programs

Module 3: Control Flow

if, elif, else

Loops: for, while

break, continue, pass

List comprehensions

Conditional expressions

Module 4: Data Structures

Lists

Tuples

Sets

Dictionaries

Strings & string methods

Nested structures (list of dicts, etc.)

Module 5: Functions

Defining and calling functions

Arguments: positional, keyword, default, variable-length

Return values

Lambda functions

Scope & namespaces

Recursion

Module 6: Modules & Packages

Creating and importing modules

Using standard library modules

Virtual environments

Package management with pip

Module 7: File Handling

Opening, reading, writing files

Working with text and binary files

Exception handling in file operations

CSV, JSON basics

Module 8: Exception Handling

Errors vs exceptions

try, except, else, finally

Raising and creating custom exceptions

Module 9: Object-Oriented Programming (OOP)

Classes and objects

Constructors (__init__)

Instance, static, and class variables

Inheritance & polymorphism

Magic/dunder methods

Encapsulation & abstraction

Module 10: Advanced Python Concepts

Iterators & generators

Decorators

Closures

Higher-order functions

Regular expressions (re module)

Module 11: Data Handling & Analysis

Working with CSV, JSON, XML

Intro to pandas, numpy

Data cleaning basics

Matplotlib introduction (optional)

Module 12: Automation & Scripting

Automating tasks

Working with OS and system commands (os, shutil, subprocess)

Date and time handling (datetime)

Module 13: Python for Web Development

Introduction to web frameworks

Flask basics: routes, templates, forms

Django overview (optional)

REST API concepts

Module 14: Databases

SQL basics

Connecting Python with databases

SQLite operations

CRUD operations with Python scripts

Module 15: Testing & Debugging

Debugging techniques

Using assert

Writing tests with unittest or pytest

Module 16: Project Work

Students develop a real Python application demonstrating mastery of topics. Examples:

Student record management system

Web app using Flask

Data analysis mini-project

Automation script (file organizer, web scraper)

Simple game using pygame

Optional Advanced Topics

Python for machine learning (NumPy, Pandas, Scikit-Learn)

Introduction to AI (TensorFlow/PyTorch)

Web scraping (requests, BeautifulSoup, Selenium)

Networking and sockets

Multithreading & multiprocessing

GUI development (Tkinter, PyQt)