'Dot Product in Python without NumPy
Is there a way that you can preform a dot product of two lists that contain values without using NumPy or the Operation module in Python? So that the code is as simple as it could get?
For example:
V_1=[1,2,3]
V_2=[4,5,6]
Dot(V_1,V_2)
Answer: 32
Solution 1:[1]
Without numpy, you can write yourself a function for the dot product which uses zip and sum.
>>> def dot(v1, v2):
... return sum(x*y for x, y in zip(v1, v2))
...
>>> dot([1, 2, 3], [4, 5, 6])
32
As of Python 3.10, you can use zip(v1, v2, strict=True) to ensure that v1 and v2 have the same length.
Solution 2:[2]
def dot_product(x, y):
dp = 0
for i in range(len(x)):
dp += (x[i]*y[i])
return dp
sample1 = [1,2,3,4,5]
sample2 = [2,1,1,1,1]
dot_product(sample1, sample2) #16
Solution 3:[3]
We can simply use @ operator from python. For example:
import numpy as np
x = np.array([25, 2, 5])
y = np.array([0, 1, 2])
print(x@y)
12
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | |
| Solution 2 | richardec |
| Solution 3 | Ersel Er |
