! A curated collection of Python implementations demonstrating core engineering competencies. This repository serves as a technical reference for best practices in backend development, system design, and algorithmic problem-solving.

• Features
• Technologies Used
• Installation
• Usage
• Core Modules
• License

• RESTful API Design: Drone Mesh Network implementation using FastAPI with Pydantic validation.
• Concurrency: Asynchronous I/O operations using asyncio and gather for non-blocking tasks.
• Database Integration: ORM implementation for Telemetry Data using SQLAlchemy and SQLite.
• Problem Solving: Optimized implementations of Two Pointers, Sliding Window, and Breadth-First Search (BFS) patterns.
• Pythonic Features: Advanced usage of decorators, generators, list/dict comprehensions, and context managers.
• Robust Testing: Unit testing suite using the unittest module for edge-case validation.

• Language: Python 3.x
• Web Framework: FastAPI
• Database/ORM: SQLAlchemy, SQLite
• Validation: Pydantic
• Testing: Unittest

1. Clone the repository:

   git clone https://github.com/your-username/python-technical-skills.git
   cd python-technical-skills

2. Install dependencies:

   pip install fastapi sqlalchemy pydantic uvicorn

To launch the Drone Mesh Network API:

uvicorn api-design:app --reload

To execute the test suite:

python -m unittest testing-fundamentals.py

To run the telemetry database demonstration:

python database-basics.py

This project is licensed under the MIT License.