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The Quick and Easy Way to Analyze Numpy Arrays

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The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par

Python Tuple: Here're 2 Ways to Calculate Sum Easily

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Python tuple is nothing but a set of data. It can have an 'n' number of elements. Here, in my example, the tuple has 20 Elements. The below logic helps you to calculate the sum of its 20 Elements easily.  A tuple is simply a set, and it can have both positive and negative Elements. So, don't worry. You can calculate the sum even the tuple has negative numbers. Here are 2 Ways You can calculate Sum Display sum after adding each element Display sum at once   Python Logic: #1 Method - The Print Displays Sum in Vertcle after Adding Each Element my_tuple = (1,20, -30, 50, 10, 11, 6, 7, 22, 88, 10, 20, 565, 121, 211, 5, 2, 18, 20, 21) sum = 0 for index in my_tuple:             sum = sum+ index          print("sum of elements:", sum) Note*** Here the print statement is within the For Loop. You May Also Like: How to Use For Loop  in Python Complete Tutorial Python Logic: #2 Method - The Print Displays Total Sum at once my_tuple = (1,20, -30, 50, 10, 11, 6, 7, 22, 88, 10