def get_nearest_station(my_latitude: float, my_longitude: float,stations: List['Station']) -> int:"""Return the id of the station from stations that is nearest to thelocation given by my_latidute and my_longitude.In the case of a tie, return the ID of the last station in stations withthat distance.Preconditions: len(stations) > 1» get_nearest_station(43.671134, -79.325164, SAMPLE_STATIONS)7571» get_nearest_station(43.674312, -79.299221, SAMPLE_STATIONS)7486II II || # A set of constants, each representing a list index for station information.ID = 0%3DNAME1%3DLATITUDE2%3DLONGITUDE= 3САРАСІTY= 4BIKES_AVAILABLEDOCKS_AVAILABLE56.'SMART'NO_KIOSK# For use in the get_lat_lon_distance helper functionEARTH_RADIUS6371# SAMPLE DATA TO USE IN DOCSTRING EXAMPLESSAMPLE_STATIONS%3D[7090, 'Danforth Ave / Lamb Ave',43.681991, -79.329455, 15, 4, 10],[7486, 'Gerrard St E / Ted Reeve Dr',43.684261, -79.299332, 24, 5, 19],[7571, 'Highfield Rd / Gerrard St E43.671685, -79.325176, 19, 14, 5]]SMART',HANDOUT_STATIONS[7000, 'Ft. York / Capreol Crt.',43.639832, -79.395954, 31, 20, 11],[7001, 'Lower Jarvis St SMART / The Esplanade',43.647992, -79.370907, 15, 5, 10]]

def get_nearest_station(my_latitude: float, my_longitude: float, stations: List['Station']) -> int: """'Return the id of the station from stations that is nearest to the location given by my_latidute and my_longitude. In the case of a tie, return the ID of the last station in stations with that distance. Preconditions: len(stations) > 1 » get_nearest_station(43.671134, -79.325164, SAMPLE_STATIONS) 7571 » get_nearest_station(43.674312, -79.299221, SAMPLE_STATIONS) 7486

def get_nearest_station(my_latitude: float, my_longitude: float, stations: List['Station']) -> int: """'Return the id of the station from stations that is nearest to the location given by my_latidute and my_longitude. In the case of a tie, return the ID of the last station in stations with that distance. Preconditions: len(stations) > 1 » get_nearest_station(43.671134, -79.325164, SAMPLE_STATIONS) 7571 » get_nearest_station(43.674312, -79.299221, SAMPLE_STATIONS) 7486

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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def get_nearest_station(my_latitude: float, my_longitude: float, stations: List['Station']) -> int: "''Return the id of the station from stations that is nearest to the location given by my_latidute and my_longitude. In the case of a tie, return the ID of the last station in stations with that distance. Preconditions: len(stations) > 1 » get_nearest_station(43.671134, -79.325164, SAMPLE_STATIONS) 7571 » get_nearest_station(43.674312, -79.299221, SAMPLE_STATIONS) 7486
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Create a structure course with some attributes i.e course_ID, course_title, credit_hrs etc.. Then Implement following 5 functions (Known as CRUDS operations which means CREATE, READ, UPDATE, DELETE, SEARCH operations): 1. addAStudent 2. updateAStudent 3. deleteAStudent 4. searchAndDisplayAStudent 5. displayAllstudents After that, create an array of 5 courses in main function. Create a menu in main function to enable user to select and perform the operations we created above. Program must not exit until and unless user wants to do so. Result: Sample Menu: Main Menu --------------- Press 1 to add a Course Press 2 to update a Course Press 3 to delete a Course Press 4 to search and display a Course Press 5 to display all Courses Press e to exit the program Write this programme in c++
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.
1.Description: You are given a list of queries, each consisting of three integers: a, b, and k. Your task is to perform a series of operations on an array of size n such that each element in the array is incremented by k in a specific range defined by a and b.. Coding expansion.
PHP i want to use foreach function for 3 variables i use this code in my page: <?php foreach(array_combine($commodity_id, $quantity) as $commodity_id => $quantity){ $query = "INSERT INTO order_detail (commodity_id,quantity,c_stander_name,order_id) VALUES ('$commodity_id','$quantity','$c_stander_name','$order_id')"; $result = execute_sql($link, "0201", $query); } ?> how can i do that like : <?php foreach(array_combine($commodity_id, $quantity,$c_stander_name) as $commodity_id => $quantity =>$c_stander_name){ $query = "INSERT INTO order_detail (commodity_id,quantity,c_stander_name,order_id) VALUES ('$commodity_id','$quantity','$c_stander_name','$order_id')"; $result = execute_sql($link, "0201", $query); } ?> No hand written and fast answer with explanation
complete the docstring using the information provided:
MySQL Workbench Will the following select statements work? If the queries don’t work, explain why and then correct them.a-) SELECT NAME, EMPLOYEE_ID, SALARYFROM EMPLOYEE_TBL E, EMPLOYEE_PAY_TBL EPWHERE EMPLOYEE_ID = EMPLOYEE_ID AND NAME LIKE '%MITH';b-) SELECT E.NAME, E.EMPLOYEE_ID, EP.SALARYFROM EMPLOYEE_TBL E, EMPLOYEE_PAY_TBL EPWHERE NAME LIKE '%MITH';c-) SELECT E.NAME, E.EMPLOYEE_ID, EP.SALARYFROM EMPLOYEE_TBL E, EMPLOYEE_PAY_TBL EPWHERE E.EMPLOYEE_ID = EP.EMPLOYEE_ID AND E.NAME LIKE '%MITH';d-) SELECT ENAME, COUNT(*)FROM EMPWHERE ENAME = '&NAME'ORDER BY ENAME;e-) SELECT DEPT_ID, COUNT(*)FROM EMPGROUP BY DEPT_IDHAVING ENAME='ALIYE';f-) SELECT F_NAME, L_NAMEWHERE F_NAME LIKE '%A'FROM EMP, DEPT;g-) SELECT NAME, SALARYFROM DEPT, EMPWHERE DEPT.ID = EMP.ID AND SUM(SALARY);
def get_nearest_station(my_latitude: float, my_longitude: float, stations: List['Station']) -> int: """Return the id of the station from stations that is nearest to the location given by my_latidute and my_longitude. In the case of a tie, return the ID of the last station in stations with that distance. Preconditions: len(stations) > 1 >>> get_nearest_station(43.671134, -79.325164, SAMPLE_STATIONS) 7571 >>> get_nearest_station(43.674312, -79.299221, SAMPLE_STATIONS) 7486 """
Use Python Code Your task is : Number of reported COVID-19 deaths by country. (Use pandas to read the csv table. Example : df = pd.read_csv('Covid19Deaths.csv') then do the code using the dataframe) COVID-19 Deaths table (csv): Province/State Country/Region Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020 4/4/2020 4/5/2020 4/6/2020 4/7/2020 Afghanistan 33 65 0 0 0 0 0 0 0 0…
The InstantRide Driver Relationship team wants to learn how many travels each driver has done in the month of October. You need to send them the DRIVER_ID, and two calculated columns: DAY and RIDES. The DAY column is calculated using the DAY() function with the TRAVEL_START_TIME as the argument. The RIDES column is calculated by using the COUNT() function to determine the number of rides given for each day. Filter the results with the MONTH function.
nycflights13::flights Q4<- flights %>%filter(carrier == "JFK") %>%summarise(average_dist = mean(distance)%>%summarise(max_dist = max(average_dist))%>%group_by(Q4, month, day)%>%head(Q4[order(dat$month),(dat$day),(dat$max_dist)],n=5) *not pictured, I did upload, tidy verse, dplyr, and the nycflights13 libraries. Error: Incomplete expression: Q4<- flights %>% filter(carrier == "JFK") %>% summarise(average_dist = mean(distance)%>% summarise(max_dist = max(average_dist))%>% group_by(Q4, month, day)%>% head(Q4[order(dat$month),(dat$day),(dat$max_dist)],n=5) RStudio Question: I can't figure out what is wrong with my code. Could someone take a look at it? See below for what I am trying to do, my code and my error output. I am trying to find what 5 days of the year had the highest mean distance from JFK airport, using the nycflights13 library. I want to format it in month, day, andvmean distance.