In this article, we will understand how to compute the quotient and reminder in Java. Quotient and Reminder is calculated using two simple formula "Quotient = Dividend / Divisor" and "Remainder = Dividend % Divisor".Given an integer a and a non-zero integer d, it can be shown that there exist ... Read More

In this article, we will understand how to print ascii values of characters. This is done by assigning the character to an integer value and printing those integer values.ASCII stands for American Standard Code for Information Interchange. There are 128 standard ASCII codes, each of which can be represented by ... Read More

To return element-wise title cased version of string or unicode, use the numpy.char.title() method in Python Numpy. Title case words start with uppercase characters, all remaining cased characters are lowercase.The function title() returns an output array of str or unicode, depending on input type. The numpy.char module provides a set ... Read More

To get the itemsize of the Masked Array, use the ma.MaskedArray.itemsize attribute in Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for ... Read More

In this article, we will understand how to convert decimal to octal. a Decimal number is a number whose whole number part and the fractional part is separated by a decimal point. Octal Number has a base of eight and uses the number from 0 to 7.Below is a demonstration ... Read More

To get the information about the memory layout of the masked array, use the ma.MaskedArray.flags in Numpy. Masked arrays are arrays that may have missing or invalid entries. The numpy.ma module provides a nearly work-alike replacement for numpy that supports data arrays with masks.A masked array is the combination of ... Read More

To compute the bit-wise XOR of two boolean arrays element-wise, use the numpy.bitwise_xor() method in Python Numpy.Computes the bit-wise XOR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator ^.The 1st and 2nd parameter are the arrays, only integer and boolean ... Read More

To return the variance of the masked array elements, use the ma.MaskedArray.var() in Numpy. The axis is set using the axis parameter. The axis is set to 0, for column axis.Returns the variance of the array elements, a measure of the spread of a distribution. The variance is computed for ... Read More

In this article, we will understand how to find the perimeter of a rectangle. The Perimeter of a rectangle is calculated by adding the lengths of all the sides of the rectangle.Below is a demonstration of a rectangle. The perimeter of a rectangle is the total length of the two ... Read More

To compute the bit-wise OR of a 1D and a 2D array element-wise, use the numpy.bitwise_or() method in Python Numpy. Computes the bit-wise OR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator |.The 1st and 2nd parameter are the arrays, ... Read More