scipy
SciPy - Scientific Computing
Advanced scientific computing library built on NumPy, providing algorithms for optimization, integration, interpolation, and more.
When to Use
- Integrating functions (numerical integration, ODEs)
- Optimizing functions (minimization, root finding, curve fitting)
- Interpolating data (1D, 2D, splines)
- Advanced linear algebra (sparse matrices, decompositions)
- Signal processing (filtering, Fourier transforms, wavelets)
- Statistical analysis (distributions, hypothesis tests)
- Image processing (filters, morphology, measurements)
- Spatial algorithms (distance matrices, clustering, Voronoi)
- Special mathematical functions (Bessel, gamma, error functions)
- Solving differential equations (ODEs, PDEs)
Reference Documentation
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