apply your code to find the 2-norm of vectors and check the orthogonality of two vectors. in python

To find the 2-norm of a vector in Python using numpy, you can use the `numpy.linalg.norm()` function. The second argument of the function specifies the type of norm, which in this case is `2` for the 2-norm.

```main.py```import numpy as np

# create an example vector
v = np.array([1, 2, 3])

# calculate the 2-norm of the vector
norm_v = np.linalg.norm(v, 2)

print(norm_v)
```154 chars10 lines```

To check the orthogonality of two vectors in Python using numpy, you can use the `numpy.dot()` function to compute the dot product of the vectors. If the dot product is zero, then the vectors are orthogonal.

```main.py```import numpy as np

# create an example vectors
v1 = np.array([1, 0, 0])
v2 = np.array([0, 1, 0])

# compute the dot product of the vectors
dot_product = np.dot(v1, v2)

if dot_product == 0:
print("The vectors are orthogonal.")
else:
print("The vectors are not orthogonal.")
```283 chars14 lines```

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