NumPy - Numerical Python

The fundamental package for numerical computing in Python, providing multi-dimensional arrays and fast operations.

When to Use

• Working with multi-dimensional arrays and matrices
• Performing element-wise operations on arrays
• Linear algebra computations (matrix multiplication, eigenvalues, SVD)
• Random number generation and statistical distributions
• Fourier transforms and signal processing basics
• Mathematical operations (trigonometric, exponential, logarithmic)
• Broadcasting operations across different array shapes
• Vectorizing Python loops for performance
• Reading and writing numerical data to files
• Building numerical algorithms and simulations
• Serving as foundation for pandas, scikit-learn, SciPy

Reference Documentation