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!
1 maintainer
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