Matrixflow

A rich library with implementations for mathematical matrices and vectors and their operations

Refer to the documentation over here

Installation

Python 3.10 or higher is required

py -m pip install matrixflow

or from github

py -m pip install git+https://github.com/Tom-the-Bomb/matrixflow.git

Examples

from matrixflow import Matrix, Vector

A = Matrix([
    [1, 2, 3],
    [4, 5, 6],
    [7, 8, 9],
])
print(A.det()) # calculates the determinant
A.transpose()   # transposes `A` in place

u = Vector([1, 2, 3])
v = Vector([4, 5, 6])
print(u * v)   # calculates the dot product

Further examples can be found over at the documentation here

Highlight Features

• Matrices

  • Basic operations: addition, subtraction, scalar/matrix multiplication and other basic matrix functions
  • Linear transformations
  • determinant
  • Linear system of equations:
    • Gaussian elimination: row echelon & reduced row echelon forms
    • Inverse
  • and many more!

• Vectors

  • Basic operations: addition, subtraction, scalar/dot/cross products and other basic vector functions
  • polar/spherical and cartesian conversions
  • projection, rejection
  • and many more!