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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

10 Complex UX interview Questions

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In this post, I have shared complex UX design interview questions that are useful for your next interview. The term user experience popularly call it as UX. If any question difficult to answer in the interviews, you can say it as ' complex'. I am sure, the listed questions boost your knowledge. 10 Complex UX interview Questions 1) What is UX and what to ensure? A). Good UX can ensure that customers use and actually enjoy the experiences you design.  If you've ever used a website, software application, or product interface that confused you, you've probably experienced a design process that did not leverage UX best practices.  In addition, UX can be a key component in establishing customer loyalty and goodwill. 2) What are the top 3 promises of good UX design? A). The three promises are a) Usable, b) Useful and c) Desirable 3) What are the four elements in information architecture? A). The 4 elements are : a) Navigation b) Content organization c