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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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8 Popular Encryption Methods Real Usage

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The process of replacing original data with special-characters is called an Encryption. A highly secured server handles the encryption and Decryption. You need a private key to decrypt the data. Else, you cannot decrypt the data. Private keys are two types. The sender uses one private key and the receiver uses one other private key. I have given in this post about 8 encryption methods. Flow Diagram of Encryption image courtesy by digit.in   Different Encryption Methods Classic Cipher Random Key Generation RSA Token Hash Functions Mac value - Message Authentication code Key Hash TLS Protocol Authenticated Cipher  1. Classic Cipher. The best example is this kind of algorithm was used in world war -II communication machines. 2. Random Key Generations. One kind of security. They use an algorithm that sends random numbers. People use that number as a password.  3. RSA Token. Every 30 seconds a token is generated. Mostly people use for financial ap
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