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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

Oracle fFlash Storage and its Top Features

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ORACLE flash storage is faster than other storage systems. This post tells why flash storage you need and the special features of flash storage from oracle. Customers today are facing a triad of issues requiring higher performance from their storage systems such as More server and application virtualization, Faster servers and scale-out applications and Latency-sensitive applications. Flash storage is seen as the solution to these issues because it delivers the desired higher performance.  But does all of your data need flash media?  What if there were “a smart and self-optimizing” storage system that automatically moves data across different media depending not only on frequency of usage, but also on the application’s performance requirements, media cost, and business value? Introducing Oracle FS1 Flash Storage System. How is Oracle FS1 Flash Storage System Different? Oracle FS1 intelligently delivers flash performance when you need it and reduces costs by moving data