Welcome to DataPytheon – a mythical library of easy-to-use Python scripts that help you access, clean, and explore datasets from both public repositories and live APIs.

Whether you're a beginner learning data science, a developer prototyping fast, or an open-source contributor, this project gives you plug-and-play tools to handle real-world data with ease.

DataPytheon is a hybrid repository that offers:

• recipes/ — Pre-cleaned static datasets (like Titanic, Iris, Netflix, etc.)
• syncers/ — Scripts to fetch real-time data from public APIs (like exchange rates, crypto prices, weather, etc.)

All scripts return ready-to-use Pandas DataFrames, ideal for quick analysis, learning, or feeding into models.

Think of it as your data prep toolbox — one line of code away from clean, structured data.

• 🧑‍🎓 Beginners in Python, data science, or machine learning
• 💻 Developers who want quick dataset access without boilerplate
• ✨ Contributors looking for a simple and valuable open-source project
• 📚 Educators who need ready datasets for teaching or assignments

DataPytheon/
│
├── recipes/                    # Static datasets
│   └── titanic.py              # Example recipe
│
├── syncers/                    # Live/API data scripts
│   └── exchange_rates.py       # Example syncer
│
├── tests/                      # Basic unit tests for scripts
│   └── test_titanic.py

Just run the next command from the root folder of the project:

pytest --cov=src