Python Squared - Python

Python Squared is a powerful Python package that provides a toolkit for working with square matrices. It contains a variety of useful functions for matrix manipulation, linear algebra calculations, and statistical analysis.

Features

• Creation and manipulation of square matrices
• Matrix operations: addition, subtraction, multiplication, and division
• Linear algebra functions: determinant, inverse, eigenvalues, eigenvectors, trace
• Statistical analysis: mean, variance, covariance, correlation coefficient
• Visualization tools for matrices and statistical data

Installation

To install Python Squared, simply use pip:

pip install pythonsquared

Getting Started

To get started with Python Squared, simply import the package and start creating and manipulating matrices:

import pythonsquared as ps

# Creating a square matrix
A = ps.Matrix([[1,2],[3,4]])

# Addition of matrices
B = ps.Matrix([[5,6],[7,8]])
C = A + B
print(C)

# Multiplication of matrices
D = A * B
print(D)

# Determinant of matrix
det_A = A.determinant()
print(det_A)

# Inverse of matrix
inv_A = A.inverse()
print(inv_A)

Documentation

For more details on Python Squared, including a full list of functions and detailed documentation on their usage, please see the official documentation at pythonsquared.readthedocs.io.

Conclusion

Python Squared is a powerful tool for working with square matrices in Python. Whether you're working on linear algebra problems, statistical analysis, or just need to create and manipulate matrices, Python Squared has everything you need to get the job done. Give it a try and see how it can simplify your workflow!