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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
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Python 'getsizeof' Command the Real Purpose

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Here's a sample python program to get the size of a List array.  Getting the number of elements present in a List is not easy. So how to get this? To do you need the 'getsizeof' command. Import 'sys' Library. You need to import the 'sys' library to use the SIZE commands.  >>> import sys Congrats to you since you have now imported the SYS library. The command name is " getsizeof" . Check the below example. print("An Integer:") i = int(100) print(sys.getsizeof(i)) The result will be: 100 What is the size command?  - is to get the size of elements. It gives the result based on the object you are being used. Suppose, if you use Strings, you will get String length. How to use the  'getsizeof' command? Example:1 print("Empty string:") empty_string = "" print(sys.getsizeof(empty_string)) Example:2 print("A normal string") s = "Hello world" print(sys.getsizeof(s)) Example:3 print("Incr
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