﻿ NumPy: Multiply the values ​​of two given vectors - w3resource

# NumPy: Multiply the values ​​of two given vectors

## NumPy: Basic Exercise-24 with Solution

Write a NumPy program to multiply the values ​​of two given vectors.

Sample Solution :

Python Code :

``````import numpy as np
x = np.array([1, 8, 3, 5])
print("Vector-1")
print(x)
y= np.random.randint(0, 11, 4)
print("Vector-2")
print(y)
result = x * y
print("Multiply the values of two said vectors:")
print(result)
``````

Sample Output:

```Vector-1
[1 8 3 5]
Vector-2
[1 6 4 6]
Multiply the values of two said vectors:
[ 1 48 12 30]
```

Python Code Editor:

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## Python: Tips of the Day

Returns the symmetric difference between two lists, after applying the provided function to each list element of both

Example:

```def tips_symmetric_difference_by(p, q, fn):
_p, _q = set(map(fn, p)), set(map(fn, q))
return [item for item in p if fn(item) not in _q] + [item for item in q if fn(item) not in _p]
from math import floor
print(tips_symmetric_difference_by([4.2, 2.4], [4.6, 6.8],floor))
```

Output:

```[2.4, 6.8]
```