Matrices,Matrix-vector multiplication,Numpy with python
maxtrixA.shape : 벡터의 사이즈 row,col 순서대로. import numpy as np A = np.array([[0,1,-2.3,0.1], [1.3, 4, -0.1, 0], [4.1,-1.0, 0, 1.7]]) A.shape m,n= A.shape print("row #: " + str(m) + ", cor #: " + str(n)) shape비교 by using a function bool값 리턴한다. wide = lambda x: x.shape[0] < x.shape[1] wide(A) indexing entries A = [[0,1,-2.3,0.1], [1.3, 4, -0.1, 0], [4.1,-1.0, 0, 1.7]] print("A[0,2]: " + str(A[0][2]) + ..