HackerRank Linear Algebra problem solution in Python YASH PAL, 31 July 202417 January 2026 HackerRank Linear Algebra problem solution in Python – In this Linear Algebra problem, you are given a square matrix A with dimensions N X N. Your task is to find the determinant. Note: Round the answer to 2 places after the decimal.The NumPy module also comes with a number of built-in routines for linear algebra calculations. These can be found in the sub-module linalg.linalg.detThe linalg.det tool computes the determinant of an array.print numpy.linalg.det([[1 , 2], [2, 1]]) #Output : -3.0 linalg.eigThe linalg.eig computes the eigenvalues and right eigenvectors of a square array.vals, vecs = numpy.linalg.eig([[1 , 2], [2, 1]]) print vals #Output : [ 3. -1.] print vecs #Output : [[ 0.70710678 -0.70710678] # [ 0.70710678 0.70710678]] linalg.invThe linalg.inv tool computes the (multiplicative) inverse of a matrix.print numpy.linalg.inv([[1 , 2], [2, 1]]) #Output : [[-0.33333333 0.66666667] # [ 0.66666667 -0.33333333]]HackerRank Linear Algebra problem solution in Python 2.import numpy import sys lineNum = 0 matrix = [] for line in sys.stdin: if lineNum==0: m_size = int(line) else: matrix.append(map(float,line.split())) lineNum+=1 print numpy.linalg.det(matrix)Linear Algebra solution in Python 3.import numpy n=int(input()) a=numpy.array([input().split() for _ in range(n)],float) numpy.set_printoptions(legacy='1.13') #important print(numpy.linalg.det(a)) Problem solution in pypy programming.# Enter your code here. Read input from STDIN. Print output to STDOUT import numpy n = int(raw_input()) arr = [map(float, raw_input().split()) for _ in range(n)] print numpy.linalg.det(arr)Problem solution in pypy3 programming.# Enter your code here. Read input from STDIN. Print output to STDOUT import numpy n = int(input().strip()) array = [] for _ in range(n): array.append([float(x) for x in input().strip().split(' ')]) print(numpy.linalg.det(array)) coding problems solutions Hackerrank Problems Solutions Python Solutions HackerRankPython