numpy
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
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