scipy

SciPy

SciPy is a scientific computation library that was made by the author of NumPy. In fact, SciPy uses NumPy for its functions. SciPy exists as a separate package built on top of NumPy and further optimizes some commonly used functions in Data Science.

Examples

Linear Algebra

One good reason to use SciPy is that it has an enhanced set of features for linear algebra and matrix operations. Let's use SciPy to extract the eigenvalues and eigenvectors from a matrix:

from scipy import linalg
import numpy as np
matrix = np.array([[0,1],[-2,-3]])
eigenvals, eigenvects = linalg.eig(matrix)
print(f'matrix: \n{matrix}\n')
print(f'eigenvalues: \n{eigenvals}\n')
print(f'eigenvectors: \n{eigenvects}')

Output:

matrix:
[[ 0  1]
 [-2 -3]]

eigenvalues:
[-1.+0.j -2.+0.j]

eigenvectors:
[[ 0.70710678 -0.4472136 ]
 [-0.70710678  0.89442719]]

Special Functions

SciPy has access to some special functions. One example are the combinatorics calculators:

Calculate 5 choose 2 (5C2)

from scipy.special import comb
ans = comb(5, 2, exact = True)
print(ans)

Output:

Calculate 5 permutation 2 (5P2)

from scipy.special import perm
ans = perm(5, 2, exact = True)
print(ans)

Output:

Reference

SciPy at docs.scipy.org