In this article, we will discuss how to Evaluate a 3-D Hermite series on the Cartesian product of x, y, and z  in Python and NumPy....

numpy.hsplit() function split an array into multiple sub-arrays horizontally (column-wise). hsplit is equivalent to split with axis=1, the array is always split along the second axis regardless of the array dimension....

Studentized residual is a statistical term and it is defined as the quotient obtained by dividing a residual by its estimated standard deviation. This is a crucial technique used in the detection of outlines. Practically, one can claim that any type of observation in a dataset having a studentized residual of more than 3 (absolute value) is an outlier....

numpy.irr(values) : This financial function helps user to compute IRR Value i.e. Internal Rate of Return ie. “average” periodically compounded rate of return....

In NumPy, we can round array elements to the given number of decimals with the help of round()....

With the help of Numpy matrix.tolist() method, we are able to convert the matrix into a list by using the matrix.tolist() method....

Prerequisites: Python NumPy...

In this article let’s see how to return the discrete linear convolution of two one-dimensional sequences and return the middle values using NumPy in python....

numpy.core.defchararray.not_equal(arr1, arr2) is another function for doing string operations in numpy. It checks the elements of two same shaped array one by one and returns True if they are not equal. Otherwise, it returns False....

In this article, we will see how we can create a normal distribution plot in python with numpy and matplotlib module....

Prerequisites: Parametric and Non-Parametric Methods, Hypothesis Testing...

In this article, we will be looking toward the approach to generating a Vandermonde matrix of the Legendre series in Python using NumPy....