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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

2 Tricky Examples Python List Comprehension

Here are the tricky examples of list comprehension. These examples useful for your project and interviews as well.

1. Printing odd numbers

Printing odd numbers

Reminder checking logic used here. If it is not equal to zero when you divide the number with 2, it treats the input number as odd and prints it.


lst1 = [x for x in range(40) if x % 2 != 0]
print('First 20 Odd Numbers:')
print(lst1)


2. Printing even numbers

Printing even numbers

Reminder checking logic used here. If it is equal to zero when you divide the number with 2, it treats the input number as even and prints it.

lst2 = [x for x in range(40) if x % 2 == 0]
print('First 20 Even Numbers:')
print(lst2)


Output from the Python scripts

First 20 Odd Numbers: 
[1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39]


First 20 Even Numbers: 
[0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38] 


** Process exited - Return Code: 0
** Press Enter to exit terminal

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