📘 Python Programming & Tech Curriculum

Course Overview

Audience: Beginners → aspiring AI developers, web developers, or robotics enthusiasts

Outcome: Write Python programs, build Django web apps, control hardware with Python, and create AI/ML applications.

🚀 Introduction to Python: Core Concepts

Python is a high-level, interpreted programming language known for its readability and vast ecosystem. It supports multiple programming paradigms, including structured, object-oriented, and functional programming. This module lays the groundwork for all future development.

Core Fundamentals

     
• Variables & Case Sensitivity: Variables store data. Python is case-sensitive, meaning `Name` and `name` are two different variables.
     
• Data Types: Understanding the fundamental building blocks of data:        
           
  • Integer (`int`): Whole numbers (e.g., `10`, `42`).
           
  • String (`str`): Text enclosed in quotes (e.g., `"hello"`, `'Python'`).
           
  • List: An ordered, changeable collection of items (e.g., `[1, "apple", True]`).
         
       
     
• Type Casting: Converting one data type to another, such as converting an integer to a string using `str(123)`.
     
• If-Else Control Flow: Used for decision-making. The `if` statement executes code only if a condition is met, otherwise the `else` block runs (e.g., checking if a user has enough money in a Vending Machine).
     
• Import Statement: Used to bring in functionality from external libraries or modules (e.g., `import math` to use math functions).
   

Module 1: Basic Python Syntax

     
• What is Python? Installing & setup (IDEs, Jupyter)
     
• Basic syntax: variables, data types (int, float, string, bool)
     
• Input/output (print, input)
     
• Operators (arithmetic, comparison, logical)
     
• Projects: Simple calculator, Temperature converter, Personal introduction script
   

Module 2: Control Flow & Functions

     
• Conditionals, loops, functions, recursion
     
• Projects: Number guessing game, Factorial & Fibonacci, Prime checker
   

Module 3: Data Structures

     
• Lists, tuples, sets, dictionaries, comprehensions
     
• String manipulation, Iterating collections
     
• Projects: Contact book, Word counter, Rock-Paper-Scissors
   

Module 4: Intermediate Python

     
• File handling, Error handling, OOP, Modules & packages
     
• Projects: Expense tracker, To-do list with files, Bank account simulation
   

Module 5: Web Development with Python & Django

     
• Django setup, Views, URLs, Templates, Models & databases, Forms, Static files
     
• Authentication, REST APIs with Django REST Framework
     
• Projects: Blog app (CRUD), To-do list app with login, REST API for notes
   

Module 6: Python for Data Handling

     
• NumPy, Pandas, Matplotlib, Seaborn
     
• Projects: Sales dataset analysis, Student performance analysis, Charts & plots
   

Module 7: Introduction to AI with Python

     
• AI, ML, DL overview, scikit-learn basics
     
• Classification, Regression, Clustering, Model evaluation
     
• Projects: Student grade predictor, Spam filter, K-means clustering
   

Module 8: Deep Learning & Neural Networks

     
• Neural networks, Layers, Activation functions, Loss & optimizers
     
• TensorFlow/Keras basics, Overfitting & regularization
     
• Projects: MNIST digit recognition, Sentiment analysis
     
• [Image of a basic neural network structure showing input, hidden, and output layers]
   

Module 9: Python in Robotics & Hardware

     
• GPIO basics, Sensor & actuator control, IoT with Python, Intro to ROS
     
• Projects: LED blink, Distance sensor, Smart home IoT, Line-following robot
   

Module 10: Final Capstone Project

     
• AI-powered web app (Django + ML integration)
     
• Robotics project (autonomous robot or IoT device)
     
• Deep learning project (chatbot, image classifier)
     
• Full-stack integration project combining Web, AI, and Robotics