Showing posts with the label agile vs waterfall

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The Quick and Easy Way to Analyze Numpy Arrays

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

Top Differences Read Today Agile vs Waterfall model

The Agile and Waterfall both models are popular in Software development. The Agile model is so flexible compared to the waterfall model. The top differences between Waterfall and Agile give you a clear understanding of both processes. Waterfall Model The traditional model is a waterfall. It has less flexibility. Expensive and time-consuming model. Less scalable to meet the demand of customer requirements. The approach is top-down. Starting from requirements one has to finish all the stages, till deployment to complete one cycle. With a small change in requirement, one has to follow all the stages till deployment. The waterfall model creates idleness in resource management. Agile Model The agile model is excellent for the rapid deployment of small changes The small split requirements you can call sprints Less idleness in resource management. Scope for complete team involvement. Faster delivery makes clients happy. You can deploy changes related to compliance or re