F H J M R S V 1 3 4 5 7 8. 9 10 11 12 low, middle, and high indices for each pass when using binary search t alue 'Q' in the list. Use the following format for each pass needed:
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- In Quick Sort, the function Partition is used to arranged the values into the S1 set and S2 set based on the pivot value. Given the following array, what is the content of the array after the function Partition finished the 1st pass assuming the pivot value is 40? array: 44 12 50 3 40 23 Question 4 options: 3 12 23 40 44 50 12 3 23 40 44 50 40 12 3 50 44 23 23 12 3 40 44 50When scanning an array for the first occurrence of a particular character, which repeat prefix would be best?randdf.py -> using "sys.argv" Create a program called randdf.py that has a function that takes two integer arguments and prints a Pandas dataframe. The two arguments will correspond to the number of rows and number of columns, respectively. The dataframe should be filled with random integers from 0 to 100. Set your random seed to 56.
- Looking for this in Python, please. Shopping list assignment (Parallel Array) Create three global variables with the proper data types: sub_totaltotal_pricesales_tax Sales tax is 9.5% Seven items minimum Create a shopping list (List, Tuple or Dictionary) of your choice (Items in list) Create a price list (Price for each item in shopping list) Create and print your parallel array (match each item to its price) Print the list with its index numbers Select one or more items from the shopping list using the index number Print your selected items with price Print sub total (base price of item(s) before tax) Print sales tax amount (before adding it into total price) Calculate and print total price with tax included. (this is what you would pay walking out the door) Round to two decimal points#The Iris Dataset import sklearn.datasetsimport matplotlib.pyplot as plt import numpy as np import scipy iris = sklearn.datasets.load_iris() Write a function that takes in an index i and prints out a verbose desciption of the species and measurements for data point i. For example:Data point 5 is of the species setosaIts sepal length (cm) is 5.4Its sepal width (cm) is 3.9Its petal length (cm) is 1.7Its petal width (cm) is 0.4Write a PHP code to: Create the following two dimensional array $students: ID Name Score 100 Ali 76 200 Khaleed 33 300 Fatema 89 400 Sumaya 45 Write the function nbFail($list) that takes a multidimensional array $list as parameter and returns the number of failed students (student fails if the score is less than 50). Write the required PHP code to display the array $students in an HTML table (using foreach statement) and the number of failed students and passed students (use the function defined in question b).
- in python Integer num_athletes is read from input, representing the number of athlete names to be read from input. List athletes_list contains the athlete names read from the remaining input. For each element in athletes_list, output: 'Athlete ' the element ' is at position ' the element's index in the list plus oneQuick sort the given data (if the Partion function is called once). A[ ] = {30, 35, 50, 45, 15, 25, 40}Q6. Which two of the following data structures need the same size in the memory? O Array & Singly Linked List Singly & Doubly Linked List Array & Circular Singly Linked List Singly & Circular Singly Linked List O Array & Doubly Linked List O Doubly & Circular Singly Linked List
- PYTHON prov_records_per_date() takes a 2-D list (similar to the database) and an integer representing the province ID. This function returns another 2-D list, where each element of this list stores information in the following format. [ [day1, total number of patients (both icu and non-icu) in this provice reported in day1], [day2, total number of patients (both icu and non-icu) in this provice reported in day2], ... ] >>> results = prov_records_per_date(database, 35) >>> display_dict(result) >>> display_list(result) ['2022-01-31', 239] ['2022-02-05', 393] >>> results = prov_records_per_date(database, 10) >>> display_dict(result)['2022-02-02', 225] >>> results = prov_records_per_date(database, 81) >>> display_dict(result)No data in listConstruct a row array countValues from 0 to 25, elements incremented by incrementValue. Ex: If incrementValue is 5, countValues should be [0, 5, 10, 15, 20, 25].True or False For each statement below, indicate whether you think it is True or False If you have an array with no “holes”, the append function performs at O(1) Inserting an element at the front and shifting all elements performs significantly worse than appending an element at the end of the list For the insert function, if the array is empty, there are no comparison operations that need to be performed and you can immediately add the new element Binary search can be used on an unsorted array to significantly improve its performance from O(n) to O(1) Because the update algorithm depends on using linear search, its performance is O(1) in the worst case scenario True If you search for and delete an element in an unsorted array and then shift the rest of the elements to fill the hole, the worst case performance is O(n) If you search for and delete an element in an unsorted array and then move the last element to fill the hole, the worst case performance is O(n)
