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.
- **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.
- **check_matrix**: Validate if the input is a proper matrix.
- **tell_version**: Get the current version of the package.
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.
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"description": "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)\n\n### Key Functions:\n- **row_reduce**: Perform row reduction to echelon form.\n- **inverse**: Calculate the inverse of a matrix.\n- **determinant**: Calculate the determinant of a matrix.\n- **LU_factorize**: Perform LU factorization on a matrix.\n- **matrix_multiply**: Multiply two matrices.\n- **dot**: Perform dot product on matrices or vectors.\n- **add**: Add two matrices together.\n- **subtract**: Subtract one matrix from another.\n- **scale**: Scale a matrix by a constant.\n- **cofactor**: Calculate the cofactor matrix.\n- **transpose**: Get the transpose of a matrix.\n- **flatten**: Flatten a matrix into a 1D list.\n- **create_identity**: Create an identity matrix of a given size.\n- **print_matrix**: Display a matrix in a readable format.\n- **precise_row_reduce**: Perform row reduction with higher precision.\n- **inverse_by_rows**: Calculate the inverse using row operations.\n- **brute_inverse**: Calculate the inverse using an Adjoint method(Cramer method).\n- **laplace_determinant**: Calculate the determinant using Laplace expansion.\n- **check_matrix**: Validate if the input is a proper matrix.\n- **tell_version**: Get the current version of the package.\n\nRamtrix 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.\n",
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