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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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3 Top AWS benefits to the Organization

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In this post, I have explained benefits for an organization while using AWS. You can choose the AWS as a career option since a lot of openings are there in the market. To be specific, Cloud storage is an online storage facility which is given to users so that they can use external servers to store or host their data.    Most of the business organizations need large storage capacities. Moreover, businesses need storage capacities to be clubbed with mobility. Due to this, Cloud computing has become very popular in the last few years. Amazon Web Services or AWS makes sure that anything digital is securely stored and available anywhere. Due to the same reason, Amazon Cloud computing is the most widely used and popular Cloud service on the Internet.  In this post, we will tell you about some general benefits of using Amazon Web services. We will tell you how Amazon Cloud computing helps your organization. Benefits of using Amazon Web Services Amazon Web services provide a
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Amazon web services -Object Storage

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Object Storage: Object storage provides the ability to store, well, objects — which are essentially collections of digital bits. Those bits may represent a digital photo, an MRI scan, a structured document such as an XML file — or the video of your cousin's embarrassing attempt to ride a skateboard down the steps at the public library (the one you premiered at his wedding). Object storage offers the reliable (and highly scalable) storage of collections of bits, but imposes no structure on the bits. The structure is chosen by the user, who needs to know, for example, whether an object is a photo (which can be edited), or an MRI scan (which requires a special application for viewing it). The user has to know both the format as well as the manipulation methods of the object. The object storage service simply provides reliable storage of the bits. Difference between Object storage and File storage Object storage differs from file storage, which you may be more familiar with from usi
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SOAP Vs REST top differences you need to know

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What is SOAP? SOAP is based on a document encoding standard known as Extensible Markup Language (XML, for short), and the SOAP service is defined in such a way that users can then leverage XML no matter what the underlying communication network is. For this system to work, though, the data transferred by SOAP (commonly referred to as the payload) also needs to be in XML format. Notice a pattern here? The push to be comprehensive and flexible (or, to be all things to all people) plus the XML payload requirement meant that SOAP ended up being quite complex, making it a lot of work to use properly. As you might guess, many IT people found SOAP daunting and, consequently, resisted using it. About a decade ago, a doctoral student defined another web services approach as part of his thesis: REST Representational State Transfer, which is far less comprehensive than SOAP, aspires to solve fewer problems. It doesn't address some aspects of SOAP that seemed important but tha
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