a Python class for engineering students at WBUT

Foundations → Syntax, data types, control structures.

Problem Solving → Algorithms, recursion, and computational thinking.

Data Handling → File I/O, CSV, JSON, and database connectivity.

Scientific Libraries → NumPy, SciPy, Matplotlib for engineering math and visualization.

AI & ML Basics → Intro to scikit‑learn, TensorFlow, and real‑time applications.

IoT & Edge → Using Python with Raspberry Pi, sensors, and automation.

Project Work → Mini projects aligned with civil, mechanical, IT, and electronics domains

Python Basics

• Syntax, variables, operators, input/output

• Control structures: loops, conditionals

• Functions and modular programming

2. Data Structures

• Lists, tuples, sets, dictionaries

• Stacks, queues, linked lists (implemented in Python)

• Searching and sorting algorithms

3. Object-Oriented Programming

• Classes, objects, inheritance, polymorphism

• Encapsulation and abstraction

• Design patterns in Python

4. File Handling & Databases

• Text, CSV, JSON file operations

• SQLite/MySQL integration with Python

• CRUD operations

5. Libraries & Frameworks

• NumPy, Pandas, Matplotlib for data analysis

• Flask/Django basics for web development

• Requests & APIs

6. Advanced Topics

• Exception handling, decorators, generators

• Multithreading & multiprocessing

• Regular expressions

7. AI & ML Introduction

• scikit‑learn basics

• TensorFlow/PyTorch introduction

• Simple ML models (classification, regression)

8. IoT & Cloud Integration

• Raspberry Pi + Python

• MQTT protocol for IoT

• Python with AWS/Azure APIs

9. Capstone Projects

• Chatbot using NLP

• IoT sensor data visualization

• Web app with Flask/Django

• AI‑based recommendation system