🐍 Python Introduction and Laboratory

II Semester – Academic Resource Portal

Official course portal for Python Programming (Theory + Laboratory)

📘 Syllabus 👨‍🏫 Faculty Resources 👩‍🎓 Lab Programs 💻 GitHub Repository

📘 About the Course

Data Types and Operators

Control Structures

Functions and Modules

Object-Oriented Programming

File Handling

Exception Handling

Data Processing

Mini Tools & Applications

The laboratory component focuses on problem-solving, logic building, and implementation skills.

👨‍🏫 Faculty Corner

📄 Syllabus

🎯 Course Outcomes (COs)

🎓 Program Outcomes (POs)

🧩 PSOs

📊 CO–PO–PSO Mapping

🧠 RBT Mapping

📋 Assessment Methods

📑 Course File Documents

👩‍🎓 Student Corner

📚 Theory Notes

🧪 Lab Programs

🧩 Logic Construction

📈 Flowcharts

🧾 Algorithms

💻 Code with Gaps

🔍 Viva Questions

🌐 Google Colab Links

🧪 Laboratory Programs Include

Basic Arithmetic Programs

Fibonacci & List Operations

Statistical Calculations

File Handling

Sorting Algorithms

Exception Handling

OOP Concepts

Text Analysis Tool

Data Summary Generator

Student Grade Tracker

Directory Traversal

🎯 Learning Outcomes

Develop Python programs independently

Apply logical thinking

Use OOP concepts effectively

Handle structured data

Build analytical tools

📌 Academic Integrity Notice:
Students are encouraged to practice coding independently, contribute improvements, use the GitHub repository responsibly, and focus on understanding logic instead of copying.