Python Learning Experiments

This repository contains a collection of small Python programs that demonstrate various programming concepts and techniques. Each program is self-contained and serves as a learning experiment for different aspects of Python programming.

Programs

1. Shamir's Secret Sharing (shared_secrets.py)

An implementation of Shamir's Secret Sharing cryptographic algorithm for securely splitting and reconstructing secrets.

2. Minimax Algorithm (minimax.py)

A demonstration of the Minimax algorithm with Alpha-Beta pruning, commonly used in game AI and decision making.

3. Pydantic Examples (pydantic.py)

Examples showing how to use Pydantic for data validation and settings management.

4. Dynamic Attributes (dynattr.py)

Exploration of Python's dynamic attribute handling using getattr and dict.

5. Shift-Reduce Parser (shift_reduce_parser.py)

Implementation of a shift-reduce parser for processing simple English sentences.

6. Python Decorators (decorators.py)

Various examples of Python decorators including timing, logging, and function repetition.

7. FastAPI Server (api_server.py)

A simple REST API server implementation using FastAPI framework.

8. Python Dataclasses (using_dataclasses.py)

A comprehensive guide to Python's dataclasses, demonstrating how to use the @dataclasses.dataclass decorator for simplified class creation with automatic method generation, customization options, and best practices.

Requirements

The programs may require various Python packages. Install them using:

make

Then setup the virtual environment:

source ./venv/bin/activate

Usage

Each program can be run independently. Most programs include example usage in their source code or can be run directly:

python3 <program_name>.py