ere's a "users" table and "messages" table included in the image.  Implement a SQL query to return which users have more than 10 unread messages (NULL in the "date_read" column).

FIX THIS CODE Using python Application CODE: import csv playersList = [] with open('Players.csv') as f: rows = csv.DictReader(f) for r in rows: playersList.append(r) teamsList = [] with open('Teams.csv') as f: rows = csv.DictReader(f) for r in rows: teamsList.append(r) plays=len(playersList) for i in range(plays): if playersList[i]['team']=='Argentina' and int(playerlist[i]['minutes played'])<200 and int(playersList[i] ['shots'])>20: print(playersList[i]['last name']) c0=0 c1=0 c2=0 for i in range(len(teamsList)): if int(teamsList[i]['redCards'])==0: c0=c0+1 if int(teamsList[i]['redCards'])==1: c1=c1+1 if int(teamsList[i]['redCards'])==2: c2=c2+1 print("Number of teams with zero redcards:",c0) print("Number of teams with zero redcards:",c1) print("Number of teams with zero redcards:",c2) ratio=0 for i in range(len(teamsList)): if int(teamsList[i]['games']>3) and if int(teamsList[i]['goalsFor'])/int(teamsList[i]['goalsAgainst'])<ratio:…

Add formulas to complete the table of hours used. In cell B17, create a nested formula with the IF and SUM functions that check if the total number of hours worked in week 1 (cells B9:F9) is equal to 0. If it is, the cell should display nothing (indicated with two quote marks: ""). Otherwise, the cell should display the total number of hours worked in week 1. Copy the formula from cell B17 to fill the range B18:B20

Below, we'll break down the differences between MonthCalendar and DateTimerPicker.

There's a "users" table that has more than 1M rows of "users" information. The image below are the first 3 rows.Implement a SQL query that retrieves the "email" and "friend_count" of the "user_id" with the most friends.

In Android Studio,   db is a SQLiteDatabase reference; sql is a String representing a delete SQL statement. Write a statement to execute that SQL statement.

Create a data type that allows you to insert, remove the maximum, and delete the minimum (all in logarithmic time), as well as locate the maximum and find the minimum (both in constant time). Use two piles as a hint.

3.)Declare variables a. The images variable containing an HTML collection of all elements with the tag name "img". b. The photoBucket variable referencing the element with the id "photo_bucket". c. The photoList variable referencing the element with the id "photo_list". 4.) Create a for loop that iterates through all of the items in the images collection. 5.) Within the for loop insert an onclick event handler that runs an anonymous function when an image is clicked. 6.) When an image is clicked it is either moved from the photo bucket to the photo list or from the photo list back to the photo bucket. To determine which action to perform, add the following if else statement to the anonymous function: a. If the parent element of the clicked image has an id equal to "photo_bucket" then do the following: (i) Create an element node named newltem for the li element, (ii) append newltem to the photoList object, and (i) append the image to the newltem object using the appendChild() method.…

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    """

Complete the docstring using the information attached (images):def upgrade_stations(threshold: int, num_bikes: int,                     stations: List["Station"]) -> int:    """Modify each station in stations that has a capacity that is less than    threshold by adding num_bikes to the capacity and bikes available counts.    Modify each station at most once.     Return the total number of bikes that were added to the bike share network.     Precondition: num_bikes >= 0     >>> handout_copy = [HANDOUT_STATIONS[0][:], HANDOUT_STATIONS[1][:]]    >>> upgrade_stations(25, 5, handout_copy)    5    >>> handout_copy[0] == HANDOUT_STATIONS[0]    True    >>> handout_copy[1] == [7001, 'Lower Jarvis St SMART / The Esplanade', \                            43.647992, -79.370907, 20, 10, 10]    True    """