Python Frameworks and Libraries Project

🎯 Objective

This Project showcases a structured overview of essential Python web frameworks and popular Python libraries used in real-world software development, data science, and API creation.

It includes:

🔧 Frameworks for web development (like Flask, Django, FastAPI, etc.)

📦 Libraries for numerical computing, data analysis, HTTP requests, and machine learning

Each component has its own minimal working example to help developers and students quickly understand how these tools are used in practice.

🗂️ Project Structure

Python_Frameworks_Libraries/
│
├── Frameworks/
│   ├── FastAPI/
│   │   ├── __pycache__/          # Python cache folder (auto-generated)
│   │   ├── __init__.py
│   │   ├── main.py
│   ├── __init__.py
│   ├── django_app.py
│   ├── flask_app.py
│   ├── pyramid_framework.py
│   ├── README.md
│   └── requirements.txt
│
├── Image/
│
├── Libraries/
│   ├── matplotlib/
│   ├── numpy/
│   ├── pandas/
│   ├── requests/
│   ├── scikit_learn/
│   ├── README.md
│   └── requirements.txt
│
└── README.md

- `/Frameworks` – Contains examples of web development frameworks.
- `/Libraries` – Contains examples of commonly used libraries for data science and utility tasks.

## 🚀 How to Run

Each `.py` file is a standalone script. To run any example:


🎯 Purpose

This project was created as an educational resource to:

Demonstrate the structure and usage of key Python tools

Provide beginner-friendly examples

Serve as a reference for students or professionals exploring Python’s ecosystem

📁 What's Inside

/Frameworks/ → Web frameworks with examples and notes

/Libraries/ → Python libraries for data, HTTP, and ML

README.md → Project overview and instructions

ABOUT.md → Detailed explanation of the project's purpose and scope

✅ Technologies Used

Python 3.10+

Flask, Django, FastAPI, Pyramid, Bottle

NumPy, Pandas, Requests, Matplotlib, Scikit-learn

📸 Screenshots

✍️ Author

Debbrath Debnath

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