\table [[, Q2, Q3, Q4], [,, Q7, Q8], [Q9, Q10, Q11, Q12], [Q13, Q 14, Q15,]] What is the name and colour of the following item (Barcode TAL00035388021)? \table[[, Angelcare], [Noteboo , -], [255, Nappy], [G7,, Bin], [Black, \table[[Refill -], [3]]], [, \\
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- Use hashlib module to create a super_pin_rainowtable.csv that stores MD5, SHA1, SHA256, and SHA512 hashes of all possible four, six, and eight-digit pin numbers. Using Python.the "list.txt" contains information about materials stored in the warehouse. Every record (line) in the file contains code, name and description seperated by "#" write a php script that will open the file, read the content of the file and manupulate using associative array with code as a key. the array should be sorted by the code and displayed to the user.def print_table( values: tuple[float, ) -> None: ], drag_coeff: float, increments: int, step: float 3 4 Parameters: 6 values (tuple[float, ...]): mass, force, ref_area, density, init_velocity, lift_velocity, start_position, time_inc drag_coeff (float): The drag coefficient. increments (int): The number of drag coefficients displayed. step (float): The difference between each drag coefficient. 8 9 10 11 12 Returns: 13 None 14 II II 15 For this function you need to compute the distance before lift-off for a range of drag coefficients and then you need to print these results in a table. The drag coefficient of an aeroplane has a significant impact on the plane's ability to lift-off. If the drag coefficient is sufficiently high, the plane will not actually be able to generate enough speed to lift off. In this task you will write a function which will explore this phenomenon.
- HW7_3 Ball bearings are hardened through a process known as quenching-submersion of the heated ball bearing in oil or water in order to cool it rapidly. The data below represent the temperature of the ball at various points in the cooling process time (sec) 0 30 Temp (C) 800 457 269 79 46 60 150 240 Plot the data (as discrete points). In the same figure window, also plot a) interpolating polynomial, (use polyfit and polyval) b) piecewise cubic interpolation (not-a-knot) and c) piecewise cubic interpolation (shape-preserving) Include a legend for the three methods used: polynomial interpolation, not-a-knot, shape-preserving. Then looking at the plot, choose the method you believe to be the best and smoothest fit of all these to predict the temperature after 3 minutes of cooling. Print the result using fprintf.import pandas as pd import numpy as np URL = "https://bit.ly/38zhU5T" df=pd.read_csv(URL) note: I think the data should be cleaned before performing the tasks(please include the solution of cleaning the data as well)Please help me with the solution:INSERT INTO LINE VALUES('1001','1','123-21UUY','1','189.99'); INSERT INTO LINE VALUES('1001','2','SRE-657UG','3','2.99'); INSERT INTO LINE VALUES('1002','1','QER-34256','2','18.63'); INSERT INTO LINE VALUES('1003','1','ZZX/3245Q','1','6.79'); INSERT INTO LINE VALUES('1003','2','SRE-657UG','1','2.99'); INSERT INTO LINE VALUES('1003','3','001278-AB','1','12.95'); INSERT INTO LINE VALUES('1004','1','001278-AB','1','12.95'); INSERT INTO LINE VALUES('1004','2','SRE-657UG','2','2.99'); /* -- */ CREATE TABLE PRODUCT ( PROD_CODE varchar(10), PROD_DESCRIPT varchar(35), PROD_PRICE numeric, PROD_ON_HAND int, VEND_CODE int ); INSERT INTO PRODUCT VALUES('001278-AB','Claw hammer','12.95','23','232'); INSERT INTO PRODUCT VALUES('123-21UUY','Houselite chain saw, 16-in. bar','189.99','4','235'); INSERT INTO PRODUCT VALUES('QER-34256','Sledge hammer, 16-lb. head','18.63','6','231'); INSERT INTO PRODUCT VALUES('SRE-657UG','Rat-tail file','2.99','15','232'); INSERT INTO…
- Attached File: a2provided: grades = [[71, 14, 41, 87, 49, 93],[66, 73, 54, 55, 94, 79],[20, 51, 77, 20, 86, 15],[79, 63, 72, 57, 63, 73],[30, 66, 78, 65, 41, 45],[11, 83, 51, 47, 68, 63],[99, 43, 85, 86, 24, 75],[67, 102, 11, 84, 64, 109],[16, 24, 101, 78, 55, 89],[100, 26, 37, 95, 106, 100],[55, 77, 30, 34, 28, 15],[87, 67, 13, 71, 67, 83],[95, 65, 94, 56, 15, 92],[102, 23, 36, 39, 60, 39],[90, 59, 96, 105, 83, 16],[101, 40, 17, 12, 44, 36],[39, 63, 96, 12, 65, 82],[95, 20, 105, 34, 69, 95],[95, 93, 75, 18, 105, 102],[35, 15, 82, 106, 73, 30],[80, 52, 67, 49, 11, 88],[86, 17, 44, 75, 78, 49],[22, 60, 74, 110, 92, 37],[13, 14, 15, 82, 75, 57],[71, 106, 15, 77, 30, 98],[43, 80, 76, 85, 102, 53],[26, 98, 60, 80, 104, 79],[12, 28, 40, 106, 88, 84],[82, 75, 101, 29, 51, 75],[20, 31, 84, 35, 19, 85],[84, 63, 56, 101, 83, 102],[25, 106, 36, 24, 61, 80],[86, 75, 89, 47, 28, 27],[38, 48, 22, 72, 53, 83],[70, 34, 46, 86, 32, 58],[83, 59, 38, 16, 94, 104],[62, 110, 13, 12, 13, 83],[90, 59, 55,…Lists at_bus_stop and on_board are read from input, representing passengers waiting to board a bus and passengers on the bus, respectively. Perform the following tasks: Remove the first element from at_bus_stop and output 'Passenger left bus stop: ' followed by the element. Add all the remaining elements of at_bus_stop to the end of on_board.What does the following code segment and subroutine do? .equ SIZE =128.equ TABLE_L =$60.equ TABLE_H =$00 rjmp RESET .def A =r13.def B =r14.def cnt2 =r15.def cnt1 =r16.def endL =r17.def endH =r18 mystery: mov ZL,endLmov ZH,endHmov cnt2,cnt1i_loop: ld A,Z ld B,-Z cp A,B brlo L1 st Z,A std z+1,BL1: dec cnt2 brne i_loop dec cnt1 brne mystery ret Converts temperature values from one scale to another Adds a constant to a table of bytes Sorts numbers in ascending order Converts ASCII characters from lower case to upper case
- Some rows of the STUGRADE table of a school are shown below: STU_CODE CLS_CODE GRADE YEAR 291 111 3.1 2010 938 101B 2.3 2011 931 M101 3.3 2040 291 M101 3.4 2018 190 111 2.0 2021 931 321 3.9 2003 Suppose that STU_CODE is the student code (foreign key) and CLS_CODE is the class code (foreign key). Which of the following computes the average for each year of the student with code 931? a. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931 GROUP BY YEAR b. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931. c. SELECT AVG(GRADE) FROM STUGRADE GROUP BY STU_CODE = 931 d. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931 GROUP BY AVG(GRADE)Json document: P = { "p": [ { "logType": “PDF, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” } ] } Then, I want to count the total of logType and accountId like this in python { "logType": 5, "accountId": 5 }The following code will #define N_ROW 10 #define N_COL 10 int row; double sum=0, table[N_ROW][N_COL]; sum = 0; for (row = 0; row < N_ROW; row++) sum += table[row][1] sum the values of the column with an index of 1. sum the values of the row with an index of 1. sum the values of the row with an index of N_ROW. none of the others sum the values of the first column in the array.