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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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Big Data: Top Cloud Computing Interview Questions (1 of 4)

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The below are frequently asked interview questions on Cloud computing:
1) What is the difference between Cloud and Grid?
Grid:
-Information service
-Security Service
-Data management
-Execution Manageement
Cloud:
- Maintains up-to-date information of resources
-Create VMs according to user requirement
-Application deploment
-User management

2) What are the different cloud standards?
-Interoperability standards
-Security standards
-Portability Standards
-Governance and Risk standards

3) What are the two different sub-systems in Cloud computing?
-Management sub system
-Resource sub system

4)What is Cloud compouting?
The promise of cloud computing is ubiquitous access to a broad set of applications and services, which are delivered over the network to multiple customer.

5) Why we need specialized network for Cloud services?
The public Internet is the simplest choice for delivering cloud-based services. In this model, the cloud provider simply purchases Internet connectivity and its customers access the services via their own Internet connections. However, modern high-performance applications are raising communication and bounded-time execution requirements that the public Internet cannot meet neither at the present nor even in the foreseeable future.

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