The WeatherCreate a program that:Imports and opens a fileAppends additional data to a fileReads from the file to displays each city name and month average high temperature in CelsiusOutput: The output should resemble the followingCity of Beijing month ave: highest high is 30.9 CelsiusCity of Cairo month ave: highest high is 34.7 CelsiusCity of London month ave: highest high is 23.5 CelsiusCity of Nairobi month ave: highest high is 26.3 CelsiusCity of New York City month ave: highest high is 28.9 CelsiusCity of Sydney month ave: highest high is 26.5 CelsiusCity of Tokyo month ave: highest high is 30.8 CelsiusCity of Rio De Janeiro month ave: highest high is 30.0 CelsiusAll of the above text output is generated from the file. Only these strings are hard coded:"is""of""Celsius"Import the file into the Jupyter Notebook environmentUse !curl to download https://raw. githubusercontent. com/MicrosoftLearning/intropython/m aster/world_temp_mean. csv as mean_temp. txt# [ ] The Weather: import world_mean_team. csv as mean_temp. txt into the Jupyter notebookAdd the weather for RioOpen the file in append plus mode ('a+')Write a new line for Rio de Janeiro "\nRio de Janeiro, Brazil,30.0,18.0"Grab the column headingsUse .seek() to move the pointer to the beginning of the fileRead the first line of text into a variable called: headingsConvert headings to a list using .split(',') which splits on each comma# [ ] The Weather: open file, read/print first line, convert line to list (splitting on comma)Read the remaining lines from the file using a while loopAssign remaining lines to a city_temp variableConvert the city_temp to a list using .split(',') for each .readline() in the loopPrint each city & the highest monthly average temperatureClose mean_temps>Tips & Hints:Print headings to determine indexes to use for the final output (what is in headings[0], [1], [2]..?)The city_temp data follows the order of the headings (city_temp[0] is described by headings[0])The output should look like: "month ave: highest high" for Beijing is 30.9 CelsiusConvert city_temp to lists with .split(',')# [ ] The Weather: use while loop to print city and highest monthly average temp in celsius# [] create The Weather