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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

4 Top Applications That Running From Cloud

Data Storage and Backup Box.com, Mozy, Joukuu are the applications offering data storage and backup services in cloud. Box.com offers drag and drop service for files. It just required to drop the files into Box and access from anywhere.  Mozy offers online backup service for files during a data loss. 1. Business Applications MailChimp - It offers an e-mail publishing platform. It is widely employed by the businesses to design and send their e-mail campaigns.  Chatter - Chatter app helps the employee to share important information about organization in real time. One can get the instant feed regarding any issue.  Google Apps - for Business Google offers creating text documents, spreadsheets, presentations, etc., on Google Docswhich allows the business users to share them in collaborating manner.  Quickbooks - It offers online accounting solutions for a business. It helps in monitoring cash flow, creating VAT returns and creating business reports. 2. Management A