## numpy.bitwise_and() in Python

numpy.bitwise_and() function is used to Compute the bit-wise AND of two array element-wise. This function computes the bit-wise AND of the underlying binary representation of… Read More »

## numpy.bitwise_xor() in Python

numpy.bitwise_xor() function is used to Compute the bit-wise XOR of two array element-wise. This function computes the bit-wise XOR of the underlying binary representation of… Read More »

## numpy.invert() in Python

numpy.invert() function is used to Compute the bit-wise Inversion of an array element-wise. It computes the bit-wise NOT of the underlying binary representation of the… Read More »

## numpy.polydiv() in Python

numpy.polydiv(p1, p2) method evaluates the division of two polynomials and returns the quotient and remainder of the polynomial division. Parameters : p1 : [array_like or… Read More »

## numpy.polymul() in Python

numpy.polymul(p1, p2) method evaluates the product of two polynomials and returns the polynomial resulting from the multiplication of two input polynomials ‘p1’ and ‘p2’. Parameters… Read More »

## numpy.polyval() in Python

numpy.polyval(p, x) method evaluates a polynomial at specific values. If ‘N’ is the length of polynomial ‘p’, then this function returns the value Parameters :… Read More »

## numpy.polyder() in Python

numpy.polyder(p, m) method evaluates the derivative of a polynomial with specified order. Parameters : p : [array_like or poly1D]the polynomial coefficients are given in decreasing… Read More »

## numpy.clip() in Python

numpy.clip() function is used to Clip (limit) the values in an array. Given an interval, values outside the interval are clipped to the interval edges.… Read More »

## numpy.conj() in Python

numpy.conj(x[, out] = ufunc ‘conjugate’) : This function helps the user to conjugate any complex number. The conjugate of a complex number is obtained by… Read More »

## numpy.reciprocal() in Python

numpy.reciprocal(x, /, out=None, *, where=True) : This mathematical function is used to calculate reciprocal of all the elements in the input array. Parameters : x[array_like]:… Read More »

## numpy.poly1d() in Python

numpy.poly1d(arr, root, var): This function helps to define a polynomial function. It makes it easy to apply “natural operations” on polynomials. Parameters : -> arr… Read More »

## numpy.polysub() in Python

numpy.polysub() :This function helps to find the difference of two polynomials and then returning the result as a polynomial. Each input polynomial must be a… Read More »