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NumPy: Find a matrix or vector norm

NumPy: Linear Algebra Exercise-10 with Solution

Write a NumPy program to find a matrix or vector norm.

Notes on Vector and Matrix Norms from here

Sample Solution :

Python Code :

import numpy as np
v = np.arange(7)
result = np.linalg.norm(v)
print("Vector norm:")
print(result)
m = np.matrix('1, 2; 3, 4') 
result1 = np.linalg.norm(m)
print("Matrix norm:")
print(result1)

Sample Output:

Vector norm:
9.53939201417
Matrix norm:
5.47722557505

Python Code Editor:


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Python: Tips of the Day

Getting the last element of a list:

some_list[-1] is the shortest and most Pythonic.

In fact, you can do much more with this syntax. The some_list[-n] syntax gets the nth-to-last element. So some_list[-1] gets the last element, some_list[-2] gets the second to last, etc, all the way down to some_list[-len(some_list)], which gives you the first element.

You can also set list elements in this way. For instance:

>>> some_list = [1, 2, 3]
>>> some_list[-1] = 5 # Set the last element
>>> some_list[-2] = 3 # Set the second to last element
>>> some_list
[1, 3, 5]

Note that getting a list item by index will raise an IndexError if the expected item doesn't exist. This means that some_list[-1] will raise an exception if some_list is empty, because an empty list can't have a last element.

Ref: https://bit.ly/3d8TfFP