Quantum Computing - The Computing Technology of Tomorrow Quantum Computing is a subject that can boggle even the most genius minds!!! It deals with topics that are considered science fiction by normal people like parallel universes, multiverse theory, etc. In fact, it sounds more like the next Marvel Dr. Strange movie and less like an actual technology!!! But Quantum Computing is very real. It is a compu 8 min read How to get element-wise true division of an array using Numpy? True Division in Python3 returns a floating result containing the remainder of the division. To get the true division of an array, NumPy library has a function numpy.true_divide(x1, x2). This function gives us the value of true division done on the arrays passed in the function. To get the element-wise division we need to enter the first parameter 2 min read How to calculate the element-wise absolute value of NumPy array? Let's see the program for finding the element-wise absolute value of NumPy array. For doing this task we are using numpy.absolute() function of NumPy library. This mathematical function helps to calculate the absolute value of each element in the array. Syntax: numpy.absolute(arr, out = None, ufunc ‘absolute’) Return: An array with absolute value o 2 min read NumPy ndarray.__mul__() Method | Element Wise Multiplication of Array The ndarray.__mul__() method does an element-wise multiplication of NumPy ndarray to a particular value that is provided as the parameter. Example C/C++ Code import numpy as np gfg = np.array([1, 2.5, 3, 4.8, 5]) print(gfg.__mul__(5)) Output[ 5. 12.5 15. 24. 25. ] SyntaxSyntax: ndarray.__mul__($self, value, /) Parameters self: The array on which th 1 min read NumPy | Get the Powers of Array Values Element-Wise To calculate the power of elements in an array we use the numpy.power() method of NumPy library. It raises the values of the first array to the powers in the second array. Example: C/C++ Code import numpy as np # creating the array sample_array1 = np.arange(5) sample_array2 = np.arange(0, 10, 2) print("Original array ") print("array1 3 min read Element-wise concatenation of two NumPy arrays of string In this article, we will discuss how to concatenate element-wise two arrays of string Example : Input : A = ['Akash', 'Ayush', 'Diksha', 'Radhika'] B = ['Kumar', 'Sharma', 'Tewari', 'Pegowal'] Output : A + B = [AkashKumar, AyushSharma, 'DikshTewari', 'RadhikaPegowal'] We will be using the numpy.char.add() method. Syntax : numpy.char.add(x1, x2)Para 2 min read Count Negative Numbers in a Column-Wise and Row-Wise Sorted Matrix Find the number of negative numbers in a column-wise / row-wise sorted matrix M[][]. Suppose M has n rows and m columns. Example: Input: M = [-3, -2, -1, 1] [-2, 2, 3, 4] [4, 5, 7, 8] Output : 4 We have 4 negative numbers in this matrix We strongly recommend you to minimize your browser and try this yourself first. Naive Solution: Here's a naive, n 15+ min read Make grid for computing a Mandelbrot set with outer product using NumPy in Python In this article let's learn how to make a grid for computing a Mandelbrot set with an outer product in Numpy using Python. numpy.outer() method: In Python, the numpy.outer() method is used to acquire the outer product of an array and a vector of elements. In linear algebra, a matrix is the outer product of two coordinate vectors. The m*n matrix is 4 min read NumPy Array Sorting | How to sort NumPy Array Sorting an array is a very important step in data analysis as it helps in ordering data, and makes it easier to search and clean. In this tutorial, we will learn how to sort an array in NumPy. You can sort an array in NumPy: Using np.sort() functionin-line sortsorting along different axesUsing np.argsort() functionUsing np.lexsort() functionUsing s 4 min read How to get the powers of an array values element-wise in Python-Pandas? Let's see how to get the powers of an array values element-wise. Dataframe/Series.pow() is used to calculate the power of elements either with itself or with other Series provided. This function is applicable for real numbers only, and doesn't give results for complex numbers. So let's see the programs: Example 1: The uni-dimensional arrays are map 2 min read
