Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Given list: [ 1, 4, 14, 33, 44, 52, 68, 81, 83, 85 ]
Which list elements will be checked to find the value 33 using binary search? Enter elements separated by commas in the order checked.
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- Determine the number of 11-element multisets that can be created by choosing elements from the set {1, 2, 3,..., 6}. Enter your answer in the box below. Answer=arrow_forward# convert_revised_1.py # We will try to print a table without using "string formatting"def main():print("celsius", "fahrenheit") for celsius in range (-20, 110, 10):fahrenheit = 9/5 * celsius + 32print(celsius, fahrenheit)main() Your turn: Please revise the above program convert_revised_1.py with "string formatting" and try to print a better-formatted table(required width for Celsius value is 35, width Fahrenheit value is 45, both should be center-aligned/justified)arrow_forwardodd_list = print(f"odd_list output: {odd_list}") todo_check([ (odd_list==[1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49], 'odd_list does not contain all odd numbers between 1 and 49') ])arrow_forward
- Which of the following assignment statements creates a list with 4 Integer elements? Click on the Correct Response A) my list=[7, 2, -8, 16] B) my_list = integer(4) C) my_list = [4] D) my_list = ['1', '2', '3', '4']arrow_forwardSA1: What is the maximum number of values linear search must check to find a value in a list with 2 billion values? SA2: What is the maximum number of values binary search must check to find a value in a list with 2 billion values?arrow_forwarddef city_dict(adict): """ Question 6 -Given a dictionary that maps a person to a list of countries they want to travel to, return a dictionary with the value being the list sorted by the last letter in each countries name. If two countries have the same last letter, sort by the first letter. -For an extra challenge, try doing this in one line (Optional). Args: adict (dict) Returns: dict >>> city_dict({"Pablo": ["Belgium", "Canada", "Germany"], "Athena": ["Italy", "France", "Egypt"], "Liv": ["Japan", "Bolivia", "Greece"]}) {'Pablo': ['Canada', 'Belgium', 'Germany'], 'Athena': ['France', 'Egypt', 'Italy'], 'Liv': ['Bolivia', 'Greece', 'Japan']} >>> city_dict({"Jacob": ["Bahamas", "Brazil", "Chile"], "Lexi": ["Colombia", "Finland", "Panama"], "Emily": ["Ireland", "Russia", "Kenya", "Jordan"]}) {'Jacob': ['Chile', 'Brazil', 'Bahamas'], 'Lexi': ['Colombia', 'Panama', 'Finland'], 'Emily': ['Kenya',…arrow_forward
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