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Programming Articles - Page 740 of 3363
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In this article, we will understand how to construct a simple calculator using switch-case. The switch statement evaluates an expression, matching the expression's value to a case clause, and executes statements associated with that case.Following are the arithmetic operations we are going to perform.AdditionSubtractionMultiplicationDivisionFloor DivisionModuloBelow is a demonstration of the same −InputSuppose our input is −The two inputs: 40.0 and 12.0 Operator:%OutputThe desired output would be −The result is 40.0 % 12.0 = 4.0AlgorithmStep 1 - START Step 2 - Declare three values namely my_input_1, my_input_2 and my_result and declare a character value namely operator. Step 3 - Read the required ... Read More
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To generate a Vandermonde matrix, use the np.ma.vander() method in Python Numpy. A Vandermonde matrix, named after Alexandre-Théophile Vandermonde, is a matrix with the terms of a geometric progression in each row.The columns of the output matrix are powers of the input vector. The order of the powers is determined by the increasing boolean argument. Specifically, when increasing is False, the i-th output column is the input vector raised element-wise to the power of N - i - 1. Such a matrix with a geometric progression in each row is named for Alexandre- Theophile Vandermonde.StepsAt first, import the required library ... Read More
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In this article, we will understand how to display the factors of a number. Factors are numbers that divide the original number without leaving a remainder. For example, 1, 2, 3, 4, 6, and 12 are factors of 12. If a and b are factors of a number, then a x b is also a factor of the number. If we multiply 3 and 5, we get 15. We say that 3 and 5 are factors of 15. The largest factor of any number is the number itself, and the smallest factor is 1. 1 ... Read More
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To return the outer product of two masked 1D arrays, use the ma.outer() method in Python Numpy. The first parameter is the input vector. Input is flattened if not already 1-dimensional. The second parameter is the second input vector. Input is flattened if not already 1-dimensional.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 each element of the associated array whether the value is valid or not.StepsAt first, import the required library −import ... Read More
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To return the outer product of two masked arrays, use the ma.outer() method in Python Numpy. The first parameter is the input vector. Input is flattened if not already 1-dimensional. The second parameter is the second input vector. Input is flattened if not already 1-dimensional.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 each element of the associated array whether the value is valid or not.StepsAt first, import the required library −import numpy ... Read More
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In this article, we will understand how to display prime numbers between intervals using a function in Java. We will be using two approaches: one with user input and the other with predefined input. Prime numbers The prime numbers are special numbers that have only two factors 1 and itself and cannot be divided by any other number. A number is a prime number if its only factors are 1 and itself. 11 is a prime number. Its factors are 1 and 11 itself. Some examples of prime numbers are 2, 3, 5, 7, 11, 13, and so on. 2 is ... Read More
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To mask rows and/or columns of a 2D array that contain masked values, use the np.ma.mask_rowcols() method in Numpy. The function returns a modified version of the input array, masked depending on the value of the axis parameter.Mask whole rows and/or columns of a 2D array that contain masked values. The masking behavior is selected using the axis parameter −If axis is None, rows and columns are masked.If axis is 0, only rows are masked.If axis is 1 or -1, only columns are masked.StepsAt first, import the required library −import numpy as np import numpy.ma as maCreate an array with ... Read More
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To compare and return True if an array is less than equal to another, use the numpy.char.less_equal() method in Python Numpy. The arr1 and arr2 are the two input string arrays of the same shape.Unlike numpy.less_equal, this comparison is performed by first stripping whitespace characters from the end of the string. This behavior is provided for backward-compatibility with numarray.The numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_ or numpy.bytes_.StepsAt first, import the required library −import numpy as npCreate two One-Dimensional arrays of string −arr1 = np.array(['Cio', 'Tom', 'Cena', 'Kate', 'Adams', 'brad', 'aa']) arr2 = ... Read More
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In this article, we will understand how to find prime numbers between two intervals. Prime numbers are special numbers that have only two factors, 1 and itself, and cannot be divided by any other number. 11 is a prime number. Its factors are 1 and 11 itself. Some examples of prime numbers are 2, 3, 5, 7, 11, 13, and so on. 2 is the only even prime number. All other prime numbers are odd numbers. Problem Statement Write a program in Java to display all prime numbers between two given intervals. Below is a demonstration of the same. ... Read More
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To compute the bit-wise XOR of two 2D 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 types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape.The where parameter is the condition broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original ... Read More