Dot product python

A = [1,2,3,4,5,6]
B = [2,2,2,2,2,2]

# with numpy
import numpy as np
np.dot(A,B) # 42
np.sum(np.multiply(A,B)) # 42
#Python 3.5 has an explicit operator @ for the dot product
np.array(A)@np.array(B)# 42
# without numpy
sum([A[i]*B[i] for i in range(len(B))]) # 42

Source: stackoverflow.com

Dot product python

def dot_product(vector_a, vector_b):
	#base case
    #error message if the vectors are not of the same length
	if len(vector_a) != len(vector_b):
		return "ERROR: both input vectors must be of the same length"

    #multiply vector_a at position i with vector_b at position i
    #sum the vector made
    #return that vector
	return sum([vector_a[i] * vector_b[i] for i in range(len(vector_a))])

Numpy dot product

a = np.array([[1,2],[3,4]]) 
b = np.array([[11,12],[13,14]]) 
np.dot(a,b)
[[37  40], [85  92]]

Similar codes

0 vote186 views1 answer
Copy element dynamo revit
Python
1 vote173 views2 answers
Python detect internet connection
Python
11 votes235 views4 answers
Cv2 rgb to bgr
Python
2 votes184 views1 answer
Running selenium on google colab
Python
0 vote246 views1 answer
Discord python application bot
Python
1 vote177 views1 answer
Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.
Python
0 vote168 views1 answer
Pandas column by index
Python
0 vote186 views1 answer
Modwt python github code
Python
1 vote176 views1 answer
List shape python
Python
0 vote186 views1 answer
Pandas set index integer not float
Python