Course

Unit 1

Python Fundamentals & Data Structures

• Write a Python program to demonstrate the use of variables, input/output operations, and basic data types.
• Develop programs using conditional statements and looping constructs to solve simple problems (e.g., number classification, factorial).
• Implement user-defined functions and recursion to solve problems such as Fibonacci series and GCD calculation.
• Write programs to perform operations on lists, tuples, dictionaries, and sets.
• Demonstrate mutable vs immutable data types using suitable examples.
• Implement list comprehensions and dictionary comprehensions for data transformation tasks.

Unit 2

Object-Oriented Programming & File Handling 

• Design a Python program using classes and objects to model a real-world application (e.g., Bank Account / Student Management System). 
• Implement inheritance and method overriding in Python. 
• Write a program to serialize and deserialize objects using JSON. 
• Develop a program to serialize and deserialize Python objects using Pickle. 
• Implement exception handling mechanisms and demonstrate debugging techniques. 
• Create and use custom Python modules and packages. 

Unit 3

Scripting, File System and Process Management

• Write Python scripts to create, delete, and traverse files and directories using os and pathlib.
• Develop a program to automate file organization based on file types.
• Execute system commands using os.system() and subprocess module.
• Implement process creation and management using os.fork() and os.exec.()
• Write a program to demonstrate inter-process communication and process termination using os.kill().

Unit 4

Networking & Cryptography 

• Develop a client-server application using socket programming for data transmission. 
• Implement a secure socket communication using SSL. 
• Write programs to generate cryptographically secure random numbers using secrets module. 
• Implement hashing using hashlib and verify data integrity. 
• Demonstrate message authentication using MAC and HMAC. 
• Implement symmetric encryption and decryption using Fernet. 

Unit 5

Web Automation, Data Processing & Visualization 

• Develop a Python program to automate HTTP requests using the requests library. 
• Scrape data from a website using Beautiful Soup. 
• Automate web interactions such as form filling and navigation using Selenium. 
• Process and analyze datasets using NumPy and Pandas. 
• Visualize data using Pandas and Seaborn (bar chart, line graph, heatmap). 
• Mini Project: Develop an end-to-end Python application integrating web data extraction, processing, and visualization. 

Course Objectives 

In this course students will learn to program in python, using an object-oriented approach. Students will learn and write short and long programs to use python to write programs that automate common security tasks.  

Course Outcomes 

CO-PO Mapping 

• Wesley J. Chun, “Core Python Applications Programming”, 3rd Edition, Pearson Education, 2016.
• https://automatetheboringstuff.com/ (free online version)
• realpython.com (free articles only)
• https://jakevdp.github.io/PythonDataScienceHandbook/ (free online version)