SciPy Sub – Packages
SciPy has the number of sub-packages for the various scientific computing domains. The following table is given below:
| Sr. | Sub-Package | Description |
|---|---|---|
| 1. | scipy.cluster | Cluster algorithms are used to vector quantization/ Kmeans. |
| 2. | scipy.constants | It represents physical and mathematical constants. |
| 3. | scipy.fftpack | It is used for Fourier transform. |
| 4. | scipy.integrate | Integration routines |
| 5. | scipy.interpolation | Interpolation |
| 6. | scipy.linalg | It is used for linear algebra routine. |
| 7. | scipy.io | It is used for data input and output. |
| 8. | scipy.ndimage | It is used for the n-dimension image. |
| 9. | scipy.odr | Orthogonal distance regression. |
| 10. | scipy.optimize | It is used for optimization. |
| 11. | scipy.signal | It is used in signal processing. |
| 12. | scipy.sparse | Sparse matrices and associated routines. |
| 13. | scipy.spatial | Spatial data structures and algorithms. |
| 14. | scipy.special | Special Function. |
| 15. | scipy.stats | Statistics. |
| 16. | scipy.weaves | It is a tool for writing. |
Here, we described the brief introduction of the SciPy subpackages. We will learn about these packages in further tutorial.
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