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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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Python How to Find Day of the Week

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DAY of the week Python code you will know here. One is from Calendar, and another one is from a function. Here, I have given my ideas on a better method. Also, the result you can get in a tuple. You might also like Attitude is Everything That Changes Your Life. Day of Week and Day_Name Monday 0 Tuesday 1 Wednesday 2 Thursday 3 Friday 4 Saturday 5 Sunday 6 Python: Day of Week How to Calculate 1. Python Logic to get Day of Week from Calendar from datetime import datetime import calendar dt = datetime.today() dn = dt.weekday() print ("Today is day number: {0}".format(dn)) print ("Today is a {0}".format(calendar.day_name[dn])) Here, the print uses string.format method to print output. Check out   the best example to use this method . The Output The result from the first logic Instead of directly using DateTime, you can write a function - that creates a tuple with Day of week and Day name. 2. Python Logic to get Day and Day_name  User defined function from datetime i
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