- numpy: Fundamental package for numerical computations in Python.
- pandas: Data structures and data analysis tools.
- scikit-learn: Machine learning library for Python.
- tensorflow: End-to-end open-source platform for machine learning.
- keras: Deep learning API, running on top of TensorFlow.
- xgboost: Scalable and flexible gradient boosting library.
- lightgbm: Gradient boosting framework that uses tree-based learning algorithms.
- statsmodels: Statistical modeling and econometrics in Python.
- dask: Parallel computing with task scheduling.
- torch: Deep learning platform that provides maximum flexibility and speed.
- matplotlib: Comprehensive library for creating static, animated, and interactive visualizations.
- seaborn: Statistical data visualization based on matplotlib.
- plotly: Interactive graphing library.
- bokeh: Interactive visualization library for modern web browsers.
- altair: Declarative statistical visualization library.
- Django: High-level Python web framework.
- Flask: Micro web framework written in Python.
- fastapi: Modern, fast (high-performance) web framework for building APIs.
- tornado: Scalable, non-blocking web server and web application framework.
- gunicorn: Python WSGI HTTP Server for UNIX.
- requests: Simple HTTP library for Python.
- urllib3: Powerful, user-friendly HTTP client.
- httpx: Next generation HTTP client for Python.
- aiohttp: Asynchronous HTTP client/server framework.
- websocket-client: WebSocket client for Python.
- pytest: Simple yet powerful testing framework.
- unittest2: Enhanced version of Python's built-in unittest module.
- tox: Automate testing in multiple Python environments.
- coverage: Code coverage measurement.
- hypothesis: Property-based testing library.
- SQLAlchemy: SQL toolkit and ORM.
- PyMySQL: Pure-Python MySQL client library.
- psycopg2: PostgreSQL adapter for Python.
- mongoengine: Document-Object Mapper for working with MongoDB.
- redis: Python client for Redis key-value store.
- click: Package for creating command-line interfaces.
- beautifulsoup4: Library for pulling data out of HTML and XML files.
- lxml: Processing XML and HTML in Python.
- Pillow: Imaging library.
- python-dateutil: Extensions to the standard Python datetime module.