A key reason Python is such a popular data science programming language is because there is an extensive collection of data analysis libraries available. These libraries include functions, tools and methods for managing and analyzing data. There are Python libraries for performing a wide range of data science functions, including for the processing of image and textual data, data mining and data visualization. The most widely used Python data analysis libraries include:

- Pandas
- NumPy
- SciPy
- TensorFlow
- SciKit
- Seaborn
- Matplotlib