Nothing special, and I just write them to deepen my comprehension about Scientific Computing.

I reinvented several wheels that aim to help some learn about the basic algorithms in Scicentific Computing Libraries such as NumPy and SciPy.

Define the relevant objects for basic matrix.

for instance, some functions about the Inner Products for different objects, and the basic operations for matrices.

I also use the methods of Functional Programming to define a matrix in a new way,cconcentrating more on How a matrix's composed with a series of elementary matrices.

Implement some common algorithms about real matrices.

For example,

   (def)GaussEq：using Gaussian elimination method to solve the linear equations.
  
  (class)LUEq: using LU Matrix Decomposition method to solve the linear equations.
   
  More can be seen in Method.py.

There're quite a lot of instances in this file can help you understand how we deal with the eigenvalues, ranks and

other objects we care about of a matrix.