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

4 votes222 views1 answer
Text widget get tkinter
Python
0 vote237 views2 answers
Auto py to exe download for windows
Python
1 vote225 views2 answers
How to 404 custom page not found in django
Python Django
3 votes220 views2 answers
Requests post with headers python
Python
12 votes218 views2 answers
Python sort array of dictionary by value
Python
0 vote252 views1 answer
Python write requests response to text file
Python
6 votes228 views2 answers
Decimal in python
Python
2 votes241 views1 answer
Absolute value columns pandas
Python
10 votes230 views6 answers
Xpath contains text
Python
0 vote230 views6 answers
List Comprehensions
Python