Q. What are the middle values compared in searching the data for the list of data below: 9 11 15 17 21 25 32 45 47 51 54 61 67 69 72 0 12 3 4 5 6 7 8 9 10 11 12 13 14 15 A.Search data = 67
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- Lab10B: Binary Bubbles. Binary search is a very fast searching algorithm, however it requires a set of numbers to be sorted first. For this lab, create an array full of 11 integers which the user will generate. Like in the previous lab, assume that the values will be between -100 and +100. Then, using the sorting algorithm called BubbleSort, put the array in the correct order (from lowest to highest number). After this, please print the array to the screen. Finally, search the array for the target value using Binary Search. The BinarySearch code will implement the algorithm described in the lecture slides. During this, you should print out a few key values which help Binary Search function. For example, this algorithm focuses on a low, mid, and high which correspond to the indices in the array the algorithm is currently considering and searching. Printing these values during the search process will help with debugging and fixing any issues. • BubbleSort sorts the array to prepare for…Consider the following Employee table: ID Name Hire Date Address Salary *** 15/5/2010 Isa Town 20/6/2012 Hamad Town 5/6/1989 Zahra Town 1/10/2005 Salman Town 17/5/2017 Hessa Town Isa $4000.00 $3500.00 $6500.00 $9000.0 $4500.00 Hamad Zahra Salman Hessa Write a PUSQL program segment to retrieve the id, name, and Salary of the employees whose salaries greater than 4000 using an explicit cursor. Use the editor to format your answer 123 45pop_most_recent_value doesn't work correctly for Make sure pop_most_recent_value() works correctly when adding more values than space allows for
- In the linked list below, find the value of "TEMP->Next->Data". list1 a. David b. Leah c. Robert d. MiriamIn BLAST search, the Expected value is the number of nucleotide M in the query sequence multiply by the number of nucleotides N in total in the nucleotides sequence database and consecutively multiplied by the p value for the random match distribution. The Expected value means the number of random matches you may encounter in a database search as you do. A query sequence is 96 nucleotide long is used to search a nucleotide database that contained 5 X 10 ^7 nucleotides (that is: 5 time 10 to the power of 7), and the p value to find an exact match is 2 X 10 ^ (-9). What is the expected value? (precision to 0.00001)MYSQL Create a view vTop_Course_count to list the top 2 most popular course names and the number of students took these two courses for all years. Below is a sample output. | name mycount Java2 Data Structure 10 Students sid first_name last_name birthday major zipcode Huang 1990-01-01 cs 1976-02-08 IT 1987-03-21 Math 1947-08-25 Biology 07101 1997-01-25 | CS 1995-09-15 IT 1988-01-15 |Nursing |07101 |07123 08348 1001 Austin 1002 Mary Smith 1003 Claudia Lee 91384 1004 Andrew Lin 1005 Helen Wu 07083 1007 1008 Sarah Lee 4101 Andrew |Huang Courses cid name credits CPS1231 |Java1 14 CPS2231 Java2 CPS2232 Data Structure CPS3500 Web Programming CPS3740 Database Introduction 3 CPS5740 Database Systems CPS5921 Data Mining 4 4 3 3 Students_Courses sid cid year semester grade CPS2231 2013 CPS2231 2015 CPS2231 2014 CPS3740 2011 CPS2232 2014 CPS2232 2016 1001 Fall A- 1003 Spring Spring A- 1004 1009 Fall B- 1009 Fall 1001 1004 Fall C+ CPS2232 2014 Spring B+
- Code for Jupyter Notebook Import 'mnist_784' dataset (https://www.openml.org/d/554) Pick NearestCentroid classifier and train it Output: from sklearn.neighbors import NearestCentroid#your code#score = ncc.score(X_test, y_test_0)print(score) 0.952When is a binary search best applied?Multiple key-value pairs, each representing a hotel room number and the guest's name, are read from input and added to room_data. Assign sorted_values with a sorted list of the values in room_data.
- Load the gapminder package. Then, use the gapminder dataset and complete the following codes to find countries with the largest population in 2007 of each continent as shown below. #A tibble: 5 x6 # Groups: continent country continent year lifeExp pop gdpPercap Australia Oceania 2007 81.2 20434176 34435 China Asia 2007 73 1.32E+09 4959 Germany Europe 2007 79.4 82400996 32170 Nigeria Africa 2007 46.9 1.35E+08 2014 United States Americas 2007 78.2 3.01E+08 42952 gapminder::gapminder %>% filter ( (no answer) ==2007) %>% (no answer) (continent) %>% (no answer) (n=1, (no answer)123 4 5 6 7 8 A B Paper Type Name Letter Stock 65lb Cover Stock Premium White Copy Paper 2 Hole punch Letter Ultra-White Cardstock C Quantity 100 17 25 66 87 DE Discount 25% 5% 10% 15% 20% F Order Discounts G Minimum Quantity Discount 0 25 50 75 100 5% 10% 15% 20% 25% In the above spreadsheet, create a formula in cell D4 that uses the VLOOKUP function with the table array $F$4:$G$8. The formula will determine the applicable discount for each paper type order. You should be able to autofill this formula down through cells D4:D8.Linked list consist of items such that each item could have different data type إختر واحدا: İbs O