Given list: [10, 11, 12, 19, 30, 52, 58, 77, 95] Which list elements will be checked to find the value: 10 using binary search? Ex: 42, 32, 12 10 using linear search? 30 using binary search? 30 using linear search? Which search algorithm is faster to find 10? Select Which search algorithm is faster to find 30? Select C

Given list: [10, 11, 12, 19, 30, 52, 58, 77, 95] Which list elements will be checked to find the value: 10 using binary search? Ex: 42, 32, 12 10 using linear search? 30 using binary search? 30 using linear search? Which search algorithm is faster to find 10? Select Which search algorithm is faster to find 30? Select C

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Task 2 Suppose you have a list named my_list as given below. my_list = [10,1,20,3,6,2,5,11,15,2,12,14,17,18,29] %3D Now use selection sort to sort my_list into ascending order. Output [1, 2, 2, 3, 5, 6, 10, 11, 12, 14, 15, 17, 18, 20, 29]
spuare root of 105- Google Sear x + y.com/player/ ter A U A KO NEXT > G PL English C Kinley Section 2 of 4 SAVE SUB ©2016 Glynlyon, Inc. All rights rese Mar 28
For each of the following Python list methods indicate whether the method mutates the list. Write "yes" if the method mutates the list or "no" if the method does not mutate the list. append sort reverse index insert count remove pop
import requestsfrom bs4 import BeautifulSoupimport pandas as pd # Prompt user to enter URLs to scrapeurls = input("Enter URLs to scrape (comma-separated): ").split(",") # Create an empty list to store scraped datadata = [] # Loop through each URL and scrape relevant datafor url in urls:response = requests.get(url)soup = BeautifulSoup(response.content, "html.parser")# Extract relevant data from HTML using BeautifulSoup# In this example, we extract all the links in the HTMLlinks = [link.get("href") for link in soup.find_all("a")]# Append the scraped data to the listdata.append(links) # Create a pandas DataFrame from the scraped data, if the list is not emptyif data:df = pd.DataFrame(data)# Write the DataFrame to an Excel filedf.to_excel("scraped_data.xlsx", index=False)else:print("No URLs entered. Exiting program.") I keep running into a syntax error, could you help me edit this program. I am trying to create a webscraper that asks user to enter a website and then it will put the…
Integer num_rows is read from input, representing the number of rows in a two-dimensional list. List samples_list is a two-dimensional list containing the remaining integers read from input. Assign min_list with the new list containing the smallest value in each row of samples_list.
Given a list mylist construct a dictionary mydict, the key is the index of an element in my list and its value will be the element value of mylist. for example the index of "a" is "0" . therefore the pair ( 0,"a" )will be in mydict .it means mydict = { 0:'a' ,1:'cybersecurity ', 2 : 'newyork'......} Do this in coding but not manually. given an empty dictionary mydict ={} write a python code to construct mydict for any given list. Hint : Your Code begins with mydict={}for val in mylist:
Given list: [3, 4, 7, 14, 17, 19, 30, 50, 61,71] Which list elements will be checked to find the value: 3 using binary search? 3 using linear search? 71 using binary search? 71 using linear search? Ex: 42, 32, 12 Which search algorithm is faster to find 3? Which search algorithm is faster to find 71? Select ✓ Select
Task 2. Instead of using the default hashCode method to each key, create a hash function applying the folding method. Within your hash function Split the string into 3 sub-strings, based from the reg-ex "-" Parse your sub-strings to Integer and add (folding method) Parse the summed value to String Initialize an int variable for your hash to 0 Loop to each character index of the String Apply the general formula for hashing: hash=31*hash+character in that index position; Append & 0xFFFFFFF to it to make the resulting hash positive Convert the hash to index of tablesize=20 using the % operator Return hash What index has the most occurrence of collisions?
Using the Select kth element algorithm discussed in the class to find the 8th element from the list of 25 integers below. Show the steps up to the partition of the list into two lists L and R, and indicate which list (L or R) you will continue according to the select kth element algorithm. 7,2, 106, 99, 120, 41, 18, 113, 112, 110, 111, 110, 110, 112, 115, 1, 3, 99, 120, 190, 3, 4, 116, 129, 800.
Please correct the code for this lab. Current code: import random def create_random_open_ports(): #Create empty list / dictionary port = [] ports = {} #Fill list with 100 random port numbers from 10 - 100 for i in range(1,101): random_port = random.randint(10, 100) port.append(random_port) #Create a new dictionary with ports numbers as keys new_ports = ports.fromkeys(port, 0) #Iterate through new dictionary add random 0 / 1 #Closed port = 0, Open port = 1 for key in new_ports: r1 = random.randint(0,1) new_ports[key] = r1 return new_ports # TODO: create a function called create_host_IPs() that randomly generates a list of 10 IP addresses # concatenating the 4 values into a string and appending it to a host list. The function returns the generated # host list def create_host_IPs(): host = [] octet1 = "" octet2 = "" octet3 = "" octet4 = "" #Add loop with range 1 - 11 to create the 10 host IPs EX: 192.123.11.1…
Q13. Which of the following types of linked lists is faster in the search process? * Singly Linked List Doubly Linked List O Circular Linked List O Doubly Circular Linked List O They are all the same
Which of the following statements regarding linked lists and arrays is correct? Group of answer choices: a. A dynamically resizable array makes insertions at the beginning of an array very efficient. b. Using a doubly linked list is more efficient than an array when accessing the ith element of a structure. c. A dynamically resizable array is another name for a linked list. d. Any type of list tends to be better than an array when there are a set number of maximum items known beforehand. e. If many deletions at any place in the structure were common, a linked list implementation would likely be preferable to an array