Ramtrix 0.1.4

Ripoff Numpy

A Python library for manipulating matrices while boiling your RAM.(I promise the core functions are actually optimized and WONT boil your RAM...you still have the option though)

Key Functions:

• row_reduce: Perform row reduction to echelon form.
• inverse: Calculate the inverse of a matrix.
• determinant: Calculate the determinant of a matrix.
• LU_factorize: Perform LU factorization on a matrix.
• matrix_multiply: Multiply two matrices.
• dot: Perform dot product on matrices or vectors.
• add: Add two matrices together.
• subtract: Subtract one matrix from another.
• scale: Scale a matrix by a constant.
• cofactor: Calculate the cofactor matrix.
• transpose: Get the transpose of a matrix.
• flatten: Flatten a matrix into a 1D list.
• create_identity: Create an identity matrix of a given size.
• print_matrix: Display a matrix in a readable format.
• check_matrix: Validate if the input is a proper matrix.
• tell_version: Get the current version of the package.
• precise_row_reduce: Perform row reduction with higher precision.
• inverse_by_rows: Calculate the inverse using row operations.
• brute_inverse: Calculate the inverse using an Adjoint method(Cramer method).
• laplace_determinant: Calculate the determinant using Laplace expansion.
• Discrete_Fourier_Transform: Compute the Discrete Fourier Transform from sample data.
• components: Finds the components of vector1 onto vector2 and orthogonal to vector2.
• projection: Projects vector1 onto vector2.
• normalize: Normalizes a given vector.

Ramtrix is perfect for educational purposes, matrix operations, and small to medium-scale linear algebra tasks. It is designed to be a lightweight alternative to larger libraries like Numpy, with a focus on simplicity and performance.