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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.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…

• ## NumPy Statistical Functions

Numpy statistical functions Numpy provides various statistical functions which are used to perform some statistical data analysis. In this section of the…

• ## NumPy Matrix Library

NumPy Matrix Library NumPy contains a matrix library, i.e. numpy.matlib which is used to configure matrices instead of ndarray objects. numpy.matlib.empty() function…

• ## numpy standard deviation in Python

numpy standard deviation The numpy module of Python provides a function called numpy.std(), used to compute the standard deviation along the specified…

• ## NumPy Matrix Multiplication

NumPy Matrix Multiplication in Python Multiplication of matrix is an operation which produces a single matrix by taking two matrices as input…

• ## NumPy String Functions

NumPy String Functions NumPy contains the following functions for the operations on the arrays of dtype string. SN Function Description 1 add()…

• ## numpy.mean() in Python

numpy.mean() in Python The sum of elements, along with an axis divided by the number of elements, is known as arithmetic mean.…

• ## numpy.sum() in Python

numpy.sum() in Python The numpy.sum() function is available in the NumPy package of Python. This function is used to compute the sum…

• ## numpy.meshgrid() in Python

numpy.meshgrid() in Python The numpy module of Python provides meshgrid() function for creating a rectangular grid with the help of the given…