### Problem - Linear Algebra using Numpy Hackerrank

Hello, Rishabh here, this time I bring to you:

Linear Algebra using Numpy

You are given a square matrix with dimensions X. Your task is to find the determinant.
Note: Round the answer to 2 places after the decimal.

Input Format

The first line contains the integer .

The next  lines contains the  space separated elements of array .

Output Format

Print the determinant of .

Sample Input

2

1.1 1.1

1.1 1.1

Sample Output

0.0

Code

 `12345` `import numpy as npN = int(input())A = np.array([input().split() for i in range(N)],float)#Determinant_print(np.linalg.det(A))`

You are given a 2-D array of size X.

1.       The mean along axis

2.       The var along axis

3.      The std along axis

Input Format

The first line contains the space separated values of  and .
The next  lines contains  space separated integers.

Output Format

First, print the mean.
Second, print the
var.
Third, print the
std.

Sample Input

2 2

1 2

3 4

Sample Output

[ 1.5  3.5]

[ 1.  1.]

1.11803398875

Code

 ` 1 2 3 4 5 6 7 8 91011121314` `import numpy as np n,m = map(int, input().split())b = []for i in range(n): a = list(map(int, input().split())) b.append(a)b = np.array(b)np.set_printoptions(legacy='1.13')print(np.mean(b, axis = 1))print(np.var(b, axis = 0))print(np.std(b))`

End.

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