1. NumPy – For numerical computing and handling arrays.
2. Pandas – For data manipulation and analysis (especially with dataframes).
3. Matplotlib – For creating static, interactive, and animated visualizations.
4. SciPy – For scientific and technical computing.
5. TensorFlow – For machine learning and deep learning applications.
6. Scikit-learn – For machine learning and data mining tasks.
7. Requests – For making HTTP requests.
8. Flask – A lightweight web framework for building web applications.
9. Django – A high-level web framework for developing complex, database-driven websites.
10. BeautifulSoup – For web scraping and parsing HTML/XML.

These packages extend Python’s functionality and are widely used in various fields like data science, web development, and machine learning.