python-scipyHow can I use Python and SciPy together with GitHub?

Python and SciPy can be used together with GitHub to create, manage, and share code and data. Here is a basic example of how to use Python and SciPy together with GitHub:

# Import SciPy and Numpy libraries
import scipy as sp
import numpy as np

# Create a matrix
A = np.array([[1,2,3], [4,5,6], [7,8,9]])

# Calculate the eigenvalues and eigenvectors of the matrix
eig_vals, eig_vecs = np.linalg.eig(A)

# Print eigenvalues and eigenvectors
print("Eigenvalues \n", eig_vals)
print("Eigenvectors \n", eig_vecs)

Output example

Eigenvalues
 [ 1.61168440e+01 -1.11684397e+00 -1.30367773e-15]
Eigenvectors
 [[-0.23197069 -0.78583024  0.40824829]
 [-0.52532209 -0.08675134 -0.81649658]
 [-0.8186735   0.61232756  0.40824829]]

Code explanation

1. Importing SciPy and Numpy libraries
2. Creating a matrix
3. Calculating the eigenvalues and eigenvectors of the matrix
4. Printing the eigenvalues and eigenvectors

The example code above shows how to use SciPy and Numpy together with GitHub to calculate the eigenvalues and eigenvectors of a matrix. To learn more about using Python and SciPy with GitHub, please refer to the following resources:

• Python and SciPy Tutorial
• GitHub Tutorial
• SciPy Reference Guide

Edit this code on GitHub