Pandas and NumPy

What are Pandas and NumPy?

Pandas and NumPy are foundational Python libraries for data work: NumPy provides fast n-dimensional arrays and numerical ops, while Pandas builds DataFrame and Series tools for tabular analysis on top of NumPy.

How teams use them

• NumPy for vectorized math, linear algebra, and array reshaping.
• Pandas for loading, cleaning, joining, and aggregating table-shaped datasets.
• Together they sit under most classical ML and analytics pipelines in Python.

Further reading

Authority references: pandas documentation and NumPy documentation.