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# Numpy Tutorial

• ## numpy.logspace() in Python

numpy.logspace() It creates an array by using the numbers that are evenly separated on a log scale. Syntax numpy.logspace(start, stop, num, endpoint,…

• ## numpy.matlib.empty() in Python

numpy.matlib.empty() This function is used to return a new matrix with the uninitialized entries. Syntax numpy.matlib.empty(shape,dtype,order) Parameters It accepts the following parameters.…

• ## numpy.rint() in Python

Numpy rint() This function is used to round the array elements to the nearest integer. Syntax numpy.rint(array) Parameters array: Array elements whose…

• ## numpy.matlib.eye() in Python

numpy.matlib.eye() This function returns a matrix with the diagonal elements initialized to 1 and zero elsewhere. Syntax numpy.matlib.eye(n, m, k, dtype) Parameters…

• ## numpy.save() in Python

numpy.save() in Python The numpy module of Python provides a function called numpy.save() to save an array into a binary file in…

• ## numpy.matlib.identity() in Python

numpy.matlib.identity() This function is used to return an identity matrix of the given size. An identity matrix is the one with diagonal…

• ## numpy.sort in Python

numpy.sort in Python In some cases, we require a sorted array for computation. For this purpose, the numpy module of Python provides…

• ## numpy.matlib.ones() in Python

numpy.matlib.ones() This function is used to return a new matrix with the values initialized to ones. Syntax numpy.matlib.ones(shape,dtype,order) Parameters It accepts the…

• ## NumPy Sorting and Searching

NumPy Sorting and Searching Numpy provides a variety of functions for sorting and searching. There are various sorting algorithms like quicksort, merge…

• ## numpy.matlib.zeros() in Python

numpy.matlib.zeros() This function is used to return a new matrix with the values initialized to zeros. Syntax numpy.matlib.zeros(shape,dtype,order) Parameters It accepts the…