The Joy of Computing using Python - NPTEL

This repository contains all practical Python programs and implementations developed during the NPTEL course "The Joy of Computing using Python" (NOC25-CS103). The focus is on hands-on coding exercises, assignments, and problem-solving implementations covered throughout the course.

📚 About the Course

The Joy of Computing using Python is an introductory programming course offered by NPTEL that covers fundamental programming concepts through Python. The course emphasizes practical problem-solving and computational thinking.

• Course Code: NOC25-CS103
• Platform: NPTEL (National Programme on Technology Enhanced Learning)
• Language: Python 3.x

📂 Repository Structure

The code is organized week-wise following the course curriculum:

joy-of-computing-python/
│
├── Week_01/                 # Introduction & Python Basics
│   ├── hello_world.py
│   ├── variables_demo.py
│   └── basic_operations.py
│
├── Week_02/                 # Control Structures
│   ├── conditionals.py
│   ├── loops_demo.py
│   └── pattern_printing.py
│
├── Week_03/                 # Data Structures
│   ├── lists_operations.py
│   ├── tuples_demo.py
│   └── dictionaries.py
│
├── Week_04/                 # Functions & Modules
│   ├── function_examples.py
│   ├── recursive_functions.py
│   └── modules_demo.py
│
├── Week_05/                 # File Handling
│   ├── file_operations.py
│   ├── csv_handling.py
│   └── text_processing.py
│
├── Week_06/                 # Object-Oriented Programming
│   ├── classes_objects.py
│   ├── inheritance_demo.py
│   └── polymorphism.py
│
├── Week_07/                 # Advanced Topics
│   ├── error_handling.py
│   ├── regular_expressions.py
│   └── lambda_functions.py
│
├── Week_08/                 # Libraries & Applications
│   ├── numpy_intro.py
│   ├── matplotlib_demo.py
│   └── web_scraping.py
│
├── Projects/                # Course Projects
│   ├── mini_project_1/
│   ├── mini_project_2/
│   └── final_project/
│
├── Assignments/             # Weekly Assignments
│   ├── assignment_01.py
│   ├── assignment_02.py
│   └── ...
│
├── README.md
├── requirements.txt
└── LICENSE

🚀 Getting Started

Prerequisites

• Python 3.7 or higher
• Basic text editor or IDE (VS Code, PyCharm, etc.)

Installation

1. Clone the repository:

   git clone https://github.com/Rajath2005/joy-of-computing-python.git
   cd joy-of-computing-python

2. Install dependencies (if any):

   pip install -r requirements.txt

Running the Programs

Navigate to any week's folder and run the Python files:

# Example: Running Week 1 programs
cd Week_01
python hello_world.py

# Or run directly from root
python Week_02/loops_demo.py

📅 Course Progress

Week	Topics Covered	Status
1	Python Basics, Variables, I/O	✅
2	Control Structures, Loops	✅
3	Data Structures (Lists, Tuples, Dicts)	✅
4	Functions, Modules, Packages	✅
5	File Handling, Exception Handling	✅
6	Object-Oriented Programming	✅
7	Advanced Python Concepts	⏳
8	Libraries and Real Applications	⏳

💡 Code Organization

Each Python file follows this structure:

"""
Program: [Program Name]
Week: [Week Number]
Topic: [Specific Topic]
Author: Rajath
Date: [Date]
Description: [Brief description of what the program does]
"""

# Code implementation here

🛠️ Tools & Technologies

• Language: Python 3.x
• Libraries Used:
  • Standard Library modules
  • NumPy (for numerical computing)
  • Matplotlib (for data visualization)
  • Requests (for web scraping)
  • And more as covered in the course

📋 Key Learning Outcomes

• ✅ Fundamental programming concepts in Python
• ✅ Problem-solving and computational thinking
• ✅ Data structures and algorithms
• ✅ Object-oriented programming principles
• ✅ File handling and data processing
• ✅ Working with Python libraries
• ✅ Real-world application development

🤝 Contributing

This is a personal learning repository for the NPTEL course. However, if you find any bugs or have suggestions for improvement:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

📝 Notes

• All code is written as part of the learning process
• Programs include comments for better understanding
• Some solutions might have multiple approaches
• Code is organized chronologically by course weeks

📖 Course Resources

• Official NPTEL Course Page
• Python Official Documentation
• Course Video Lectures

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

👨‍💻 Author

Rajath

• GitHub: @Rajath2005
• Course: The Joy of Computing using Python (NPTEL)

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⭐ Star this repository if you found it helpful for your NPTEL course journey!

📚 Happy Coding and Learning! 🐍