PYTHON CODE Using the file Artists.csv (link below) iterate through the list and print out the data in its entirety Create some queries with the file by searching for all artists who are male and born in America (Nationality = American) Make another query and print out all the individuals who are not American and female. Additionally, query the file for all artists who were born before 1900 and print it to the screen Artists.csv: https://media.githubusercontent.com/media/MuseumofModernArt/collection/master/Artists.csv

calculate_trip_time( iata_src: str, iata_dst: str, flight_walk: List[str], flights: Flight Dir float: def ) -> """ Return a float corresponding to the amount of time required to travel from the source airport to the destination airport to the destination airport, as outlined by the flight_walk. The start time of the trip should be considered zero. In other words, assuming we start the trip at 12:00am, this function should return the time it takes for the trip to finish, including all the waiting times before, and between the flights. If there is no path available, return -1.0 >>> calculate_trip_time("AA1", "AA2", ["AA1", "AA2"], TEST_FLIGHTS_DIR_FOUR_ 2.0 "AA7", ["AA7", "AA1"], TEST_FLIGHTS_DIR_FOUR_ "AA7", ["AA1", "AA7"], TEST_FLIGHTS_DIR_FOUR_ "AA1", ["AA1"], TEST_FLIGHTS_DIR_FOUR_CITIES) "AA2", ["AA4", "AA1", "AA2"], TEST_FLIGHTS_DI "AA3", ["AA1", "AA2", "AA3"], TEST_FLIGHTS_DI >>> calculate_trip_time("AA1", "AA4", ["AA1", "AA4"], TEST_FLIGHTS_DIR_FOUR_ 2.0 || || || >>>…

this is the link to Co2.html,SeaLevel.csv, and Sqlite.py  https://drive.google.com/drive/u/0/folders/1rDUl2YEzl9NRYdijPq5TNszzf11AszCa

DONT COPY FROM CHEGG == REPORT + DISLIKE 9. List the genre name and count of all tracks in each genre, in descending order of track count (so the genre with the most tracks is listed first)