NLP 자연어 스터디를 위한 python tutorial

python study 1일차 

d = {'baby': 2, 'dog': 4, 'spider': 8}
for test in d:
    legs = d[test]
    print('A %s has blabla %d legs'  % (test,legs ))

A person has 2 legs
A cat has 4 legs
A spider has 8 legs

튜플 추가 

 a = (1, 2, 3)

 a = a + (4, ) 

 print(a) 

 (1, 2, 3, 4)

list 추가

 list1 = [1,2,3]

 list1.append(4)

[1, 2, 3, 4]


numpy 에서 행렬의 곱을 구하는 방법 
import numpy as np

a = np.zeros((2,2))   # Create an array of all zeros
print(a)              # Prints "[[ 0.  0.]
                      #          [ 0.  0.]]"

b = np.ones((1,2))    # Create an array of all ones
print(b)              # Prints "[[ 1.  1.]]"

c = np.full((2,2), 7)  # Create a constant array
print(c)               # Prints "[[ 7.  7.]
                       #          [ 7.  7.]]"

d = np.eye(2)         # Create a 2x2 identity matrix
print(d)              # Prints "[[ 1.  0.]
                      #          [ 0.  1.]]"

e = np.random.random((2,2))  # Create an array filled with random values
print(e)                     # Might print "[[ 0.91940167  0.08143941]
                             #               [ 0.68744134  0.87236687]]"

print("numpy.matmul(c,d) =\n", np.matmul(c,d))

print("numpy.matmul(c,d) =\n", np.matmul(c,d))