
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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1. Sorting
• Begin by filling an array with random numbers:
import numpy as np
np.random.seed(1012)
DATASIZE = 1000
MAX_VALUE = 10000000
data = np.random.randint(0, MAX_VALUE, size=DATASIZE)
• Write a function that is passed a numpy array. The function should walk
through the array element-by-element, comparing the current element to
the next element. Swap if the next is smaller than the current – sorting
these two elements.
• Write a second function that calls the above function n times, where n is
the number of elements (size) of the array. Pass the same numpy array
each time.
• Begin by filling an array with random numbers:
import numpy as np
np.random.seed(1012)
DATASIZE = 1000
MAX_VALUE = 10000000
data = np.random.randint(0, MAX_VALUE, size=DATASIZE)
• Write a function that is passed a numpy array. The function should walk
through the array element-by-element, comparing the current element to
the next element. Swap if the next is smaller than the current – sorting
these two elements.
• Write a second function that calls the above function n times, where n is
the number of elements (size) of the array. Pass the same numpy array
each time.
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