Can someone please help mesolve the in PYTHON without using the with and as statements? Thankyou!
We were unable to transcribe this imageIf you’ve done everything correctly, the output should resemble the following for the sample data file: HW Avg Exam Avg Final Grade Last Name First Name – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – Abdallah Ahle Albares Johnetta Delmy Cammy 70.3 70.3 91.0 68.3 68.3 85.0 69.4 69.4 88.3 Whobrey Wieser Yglesias Yuki Sage Maurine 91.3 90.0 70.7 83.3 90.0 66.7 87.7 90.0 68.9 The last character in the file should be a newline, so that there appears to be a blank line in the file after the last student’s data. IMPORTANT: use relative file names for your program. If you use absolute file names, you might be reading or writing from a directory/folder that doesn’t exist on your TAs’ computers, so if they try to run it, your program will produce errors. Abdallah, Johnetta 65 60 70 65 75 65 80 90 80 70 80 70 50 65 70 70 80 55 Ahle, Delmy 90 80 80 70 70 65 75 65 65 60 70 80 50 70 65 70 80 55 Albares, Cammy 90 85 100 90 80 100 100 100 85 90 90 100 85 80 90 90 85 80 Amigon, Minna 90 90 90 100 100 85 80 80 100 90 80 85 85 90 90 100 85 100 Barfield, Stephaine 55 80 65 50 55 70 60 60 45 40 70 70 60 55 70 55 60 60 Battle, James 100 85 100 85 80 90 100 100 85 80 85 100 90 90 90 90 80 90 Benimadho, Elvera 70 55 55 80 65 60 55 60 45 60 70 40 70 60 60 50 70 55 Blackwood, Kallie 80 80 70 70 60 70 80 80 55 70 65 50 90 70 65 65 65 75 Bolognia, Brock 50 55 70 70 80 75 80 70 70 80 65 90 65 65 80 65 60 70 Bowley, Emerson 80 80 80 90 65 100 60 90 75 90 80 80 75 70 85 75 75 90 Briddick, Jina 80 60 85 65 80 100 75 90 80 70 90 75 90 80 75 80 90 75 Bruschke, Danica 50 70 60 45 80 55 55 60 60 55 55 70 70 60 65 70 40 60 Buvens, Tawna 80 80 70 70 65 65 65 50 60 90 75 70 80 70 70 80 65 55 Caldarera, Kiley 100 85 80 100 100 80 80 90 90 90 85 90 100 85 85 90 90 100 Campain, Roxane 75 85 75 80 65 70 100 90 60 90 75 80 90 75 80 90 80 80 Caudy, Chanel 70 80 80 75 75 85 60 80 90 90 80 75 75 90 80 65 90 100 Centini, Lisha 55 55 60 60 60 65 70 55 80 55 70 60 45 70 40 50 70 60 Chickering, Devorah 80 60 45 70 60 65 60 50 55 40 60 70 70 60 70 55 55 55 Chui, Ezekiel 75 70 75 90 90 80 75 80 80 65 100 90 75 85 80 90 80 60 Corrio, Ammie 80 75 80 75 75 90 80 80 60 80 90 70 65 90 90 75 85 100 Crupi, Delisa 60 40 65 60 70 55 60 50 45 60 60 70 55 55 55 70 80 70 Darakjy, Josephine 85 90 100 80 90 100 100 80 100 90 85 100 90 80 90 85 85 90 Dickerson, Dominque 40 55 55 70 55 60 80 65 70 55 60 70 60 60 50 70 60 45 Dilliard, Leota 100 100 90 80 85 85 100 85 100 90 90 80 90 90 100 85 80 90 Emigh, Stephen 70 40 65 80 55 70 45 50 55 70 60 55 60 60 60 70 60 55 Eroman, Ilene 80 65 75 65 90 70 70 50 80 65 80 60 70 80 65 70 55 70 Ferencz, Erick 80 90 65 80 60 100 80 75 90 90 80 75 70 85 75 90 75 80 Fern, Natalie 55 55 70 70 80 60 55 60 60 45 70 60 40 65 70 55 60 50 Figeroa, Bernardo 100 80 80 80 75 75 80 90 90 90 75 75 80 70 90 85 60 65 Flosi,Fletcher 90 100 80 100 90 100 100 90 80 90 90 85 90 100 85 80 85 85 Foller, Donette 85 90 100 90 90 100 80 85 85 100 85 90 90 100 100 80 90 80 Garufi, Meaghan 85 80 100 90 90 100 85 90 90 85 100 80 85 90 100 80 100 90 Gato, Lai 55 80 70 40 55 60 60 70 55 45 50 60 65 70 70 60 60 55 Gibes, Cory 55 40 55 55 65 45 60 60 70 60 60 70 50 60 55 70 70 80 Giguere, Wilda 45 70 55 60 55 70 60 60 40 50 80 65 55 60 60 70 55 70 Gillian, Valentine 90 80 60 90 90 80 80 75 100 85 70 65 75 90 75 75 80 80 Glick, Albina 90 80 80 75 85 80 80 75 60 90 90 75 70 100 90 65 80 75 Hochard, Malinda 50 60 70 60 40 55 80 45 60 70 60 65 55 70 60 70 55 55 Hollack, Cecily 65 80 70 70 70 60 75 90 70 65 70 65 80 55 65 80 80 50 Honeywell, Arlette 40 55 45 65 60 60 60 55 55 80 60 70 70 50 70 70 55 60 Hoogland, Tamar 70 80 65 55 70 70 50 75 70 65 80 65 80 90 65 70 80 60 Inouye, Veronika 90 85 90 100 100 90 100 90 80 85 90 85 80 80 100 90 85 100 Isenhower, Lettie 70 50 65 55 60 40 70 70 55 55 80 60 60 55 60 45 60 70 Iturbide, Allene 75 65 80 80 80 90 70 90 75 80 60 85 80 100 75 90 90 75 Juhas, Deeanna 75 65 80 70 80 65 60 50 70 90 80 70 80 65 70 65 55 70 Klonowski, Karl 70 80 70 90 75 65 65 65 55 80 70 70 50 70 65 80 60 80 Kolmetz, Willard 90 80 90 85 90 85 100 100 90 80 90 80 100 85 85 90 100 100 Kusko, Willow 90 75 85 75 75 65 80 90 100 80 80 90 80 75 80 90 60 70 Lindall, Carmelina 55 65 80 80 75 80 90 70 65 70 60 70 70 50 65 70 80 65 Lipke, Elza 60 50 70 60 55 60 70 55 60 45 65 55 70 70 40 55 60 80 Maclead, Abel 80 85 100 90 100 100 100 90 90 85 90 90 85 80 80 90 100 85 Malet, Blair 80 100 90 60 75 65 90 70 75 80 90 80 85 80 80 90 75 75 Marrier, Kris 90 100 85 100 100 100 90 85 85 80 80 80 85 90 90 100 90 90 Mastella, Marjory 75 80 70 70 80 80 60 90 65 65 50 70 70 55 65 65 80 70 Monarrez, Amber 90 75 65 65 65 70 80 50 70 70 70 60 80 55 65 70 80 80 Juhas, Deeanna 75 65 80 70 80 65 60 50 70 90 80 70 80 65 70 65 55 70 Klonowski, Karl 70 80 70 90 75 65 65 65 55 80 70 70 50 70 65 80 60 80 Kolmetz, Willard 90 80 90 85 90 85 100 100 90 80 90 80 100 85 85 90 100 100 Kusko, Willow 90 75 85 75 75 65 80 90 100 80 80 90 80 75 80 90 60 70 Lindall, Carmelina 55 65 80 80 75 80 90 70 65 70 60 70 70 50 65 70 80 65 Lipke, Elza 60 50 70 60 55 60 70 55 60 45 65 55 70 70 40 55 60 80 Maclead, Abel 80 85 100 90 100 100 100 90 90 85 90 90 85 80 80 90 100 85 Malet,Blair 80 100 90 60 75 65 90 70 75 80 90 80 85 80 80 90 75 75 Marrier, Kris 90 100 85 100 100 100 90 85 85 80 80 80 85 90 90 100 90 90 Mastella, Marjory 75 80 70 70 80 80 60 90 65 65 50 70 70 55 65 65 80 70 Monarrez, Amber 90 75 65 65 65 70 80 50 70 70 70 60 80 55 65 70 80 80 Mondella, Vallie 80 55 75 70 70 50 90 80 70 65 70 60 65 65 80 80 70 65 Morasca, Simona 100 80 90 90 100 100 90 85 85 100 90 80 85 100 90 90 80 85 Morocco, Elly 80 80 60 55 70 70 75 80 80 65 65 70 65 70 90 50 70 65 Mulqueen, Timothy 55 70 50 55 60 55 45 40 60 70 60 80 70 65 70 55 60 60 Munns, Myra 60 60 70 80 55 60 45 55 70 70 55 50 65 70 55 60 60 40 Nestle, Lorrie 70 70 90 65 60 65 80 70 55 50 80 65 75 80 65 70 80 70 Nicka, Bette 80 85 85 90 80 100 90 100 90 85 90 90 100 80 90 100 85 100 Oldroyd, Dyan 75 90 75 75 100 80 80 70 80 90 85 90 80 75 65 90 80 60 Ostrosky, Rozella 75 90 80 80 65 80 85 90 90 80 70 60 80 75 75 75 90 100 Paprocki, Lenna 90 100 100 80 90 100 100 90 90 90 80 85 85 85 90 100 85 80 Parlato, Moon 80 55 55 40 70 55 45 60 70 60 60 50 65 60 55 70 70 60 Perin, Lavera 75 90 75 90 80 80 90 90 70 100 65 75 80 75 85 80 80 60 Poquette, Mattie 90 80 100 80 90 100 90 90 85 85 80 90 85 85 90 100 100 100 Pugh, Blondell 80 70 70 65 65 50 70 65 70 60 80 90 75 80 65 70 80 55 Reitler, Laurel 60 45 80 60 40 60 55 55 60 55 70 55 70 70 50 60 65 70 Rhym, Bobbye 70 65 55 80 70 65 70 80 60 75 70 50 70 65 90 80 80 65 Rhymes, Micaela 60 80 90 70 65 75 65 50 80 70 70 65 55 70 80 70 65 80 Rim, Gladys 90 85 80 85 80 85 100 100 100 90 80 100 100 90 85 90 90 90 Royster, Maryann 85 80 85 90 90 85 90 100 80 100 80 90 90 90 100 100 85 100 Rulapaugh, Kati 75 100 60 65 75 80 80 80 90 70 80 80 85 90 75 90 75 90 Ruta, Graciela 80 100 85 100 85 100 90 80 90 90 90 100 85 90 90 85 100 80 Saylors, Fatima 80 80 80 85 90 80 80 100 60 75 90 75 65 70 90 75 75 90 Schemmer, Youlanda 70 75 90 80 100 60 75 65 80 80 85 90 75 80 80 75 90 90 Seewald, Shenika 65 70 65 75 70 80 80 70 80 70 90 50 65 55 70 60 80 65 Sergi, Alishia 70 100 80 90 80 75 80 80 90 75 90 75 65 75 80 90 85 60 Shields, Tyra 60 60 60 70 70 55 50 70 55 80 60 65 45 55 40 70 55 60 Shinko, Solange 90 80 65 75 60 75 90 80 80 75 90 85 80 80 70 100 90 75 Slusarski, Alisha 85 100 90 90 85 100 85 80 85 90 100 90 80 80 100 90 100 90 Stenseth, Ernie 60 80 80 65 80 75 75 90 80 85 75 90 70 80 100 90 75 90 Stockham, Jose 100 75 70 80 90 60 80 80 80 75 65 90 90 90 80 85 75 75 Toelkes, Viva 60 60 55 70 70 70 60 60 65 70 45 80 55 60 50 40 55 55 Tollner, Mitsue 85 90 90 85 90 100 90 100 80 90 90 85 80 100 100 100 80 85 Uyetake, Sabra 90 65 80 80 70 50 70 65 80 65 70 80 70 55 60 75 70 65 Vanausdal, Jamal 90 70 75 80 70 65 70 70 65 80 55 65 65 50 60 80 80 70 Vanheusen, Carma 55 50 55 60 65 40 55 55 45 70 80 60 70 60 70 60 70 60 Venere, Art 85 100 85 90 85 80 100 100 100 90 80 90 90 90 80 90 85 100 Vocelka, Francine 75 85 80 100 75 80 60 90 90 90 70 80 75 80 75 65 90 80 Wardrip, Tammara 60 55 70 60 60 50 80 60 55 70 60 70 55 40 70 65 45 55 Waycott, Kanisha 80 80 70 75 75 80 75 90 80 65 85 90 60 80 90 75 90 100 Weight, Penney 80 70 80 90 70 65 65 65 60 50 55 80 65 70 80 70 75 70 Wenner, Tonette 90 65 75 70 70 80 65 70 80 55 65 70 80 70 60 65 80 50 Whobrey, Yuki 100 80 100 90 85 100 100 100 90 90 85 85 90 85 90 80 80 90 Wieser, Sage 100 80 100 100 85 80 85 90 90 85 90 90 100 90 85 90 80 100 Yglesias, Maurine 70 80 80 70 65 75 65 50 65 80 80 55 70 90 65 60 70 70 Show transcribed image text
If you’ve done everything correctly, the output should resemble the following for the sample data file: HW Avg Exam Avg Final Grade Last Name First Name – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – Abdallah Ahle Albares Johnetta Delmy Cammy 70.3 70.3 91.0 68.3 68.3 85.0 69.4 69.4 88.3 Whobrey Wieser Yglesias Yuki Sage Maurine 91.3 90.0 70.7 83.3 90.0 66.7 87.7 90.0 68.9 The last character in the file should be a newline, so that there appears to be a blank line in the file after the last student’s data. IMPORTANT: use relative file names for your program. If you use absolute file names, you might be reading or writing from a directory/folder that doesn’t exist on your TAs’ computers, so if they try to run it, your program will produce errors.
Abdallah, Johnetta 65 60 70 65 75 65 80 90 80 70 80 70 50 65 70 70 80 55 Ahle, Delmy 90 80 80 70 70 65 75 65 65 60 70 80 50 70 65 70 80 55 Albares, Cammy 90 85 100 90 80 100 100 100 85 90 90 100 85 80 90 90 85 80 Amigon, Minna 90 90 90 100 100 85 80 80 100 90 80 85 85 90 90 100 85 100 Barfield, Stephaine 55 80 65 50 55 70 60 60 45 40 70 70 60 55 70 55 60 60 Battle, James 100 85 100 85 80 90 100 100 85 80 85 100 90 90 90 90 80 90 Benimadho, Elvera 70 55 55 80 65 60 55 60 45 60 70 40 70 60 60 50 70 55 Blackwood, Kallie 80 80 70 70 60 70 80 80 55 70 65 50 90 70 65 65 65 75 Bolognia, Brock 50 55 70 70 80 75 80 70 70 80 65 90 65 65 80 65 60 70 Bowley, Emerson 80 80 80 90 65 100 60 90 75 90 80 80 75 70 85 75 75 90 Briddick, Jina 80 60 85 65 80 100 75 90 80 70 90 75 90 80 75 80 90 75 Bruschke, Danica 50 70 60 45 80 55 55 60 60 55 55 70 70 60 65 70 40 60 Buvens, Tawna 80 80 70 70 65 65 65 50 60 90 75 70 80 70 70 80 65 55 Caldarera, Kiley 100 85 80 100 100 80 80 90 90 90 85 90 100 85 85 90 90 100 Campain, Roxane 75 85 75 80 65 70 100 90 60 90 75 80 90 75 80 90 80 80 Caudy, Chanel 70 80 80 75 75 85 60 80 90 90 80 75 75 90 80 65 90 100 Centini, Lisha 55 55 60 60 60 65 70 55 80 55 70 60 45 70 40 50 70 60 Chickering, Devorah 80 60 45 70 60 65 60 50 55 40 60 70 70 60 70 55 55 55 Chui, Ezekiel 75 70 75 90 90 80 75 80 80 65 100 90 75 85 80 90 80 60 Corrio, Ammie 80 75 80 75 75 90 80 80 60 80 90 70 65 90 90 75 85 100 Crupi, Delisa 60 40 65 60 70 55 60 50 45 60 60 70 55 55 55 70 80 70 Darakjy, Josephine 85 90 100 80 90 100 100 80 100 90 85 100 90 80 90 85 85 90 Dickerson, Dominque 40 55 55 70 55 60 80 65 70 55 60 70 60 60 50 70 60 45 Dilliard, Leota 100 100 90 80 85 85 100 85 100 90 90 80 90 90 100 85 80 90 Emigh, Stephen 70 40 65 80 55 70 45 50 55 70 60 55 60 60 60 70 60 55 Eroman, Ilene 80 65 75 65 90 70 70 50 80 65 80 60 70 80 65 70 55 70 Ferencz, Erick 80 90 65 80 60 100 80 75 90 90 80 75 70 85 75 90 75 80 Fern, Natalie 55 55 70 70 80 60 55 60 60 45 70 60 40 65 70 55 60 50 Figeroa, Bernardo 100 80 80 80 75 75 80 90 90 90 75 75 80 70 90 85 60 65 Flosi,Fletcher 90 100 80 100 90 100 100 90 80 90 90 85 90 100 85 80 85 85 Foller, Donette 85 90 100 90 90 100 80 85 85 100 85 90 90 100 100 80 90 80 Garufi, Meaghan 85 80 100 90 90 100 85 90 90 85 100 80 85 90 100 80 100 90 Gato, Lai 55 80 70 40 55 60 60 70 55 45 50 60 65 70 70 60 60 55 Gibes, Cory 55 40 55 55 65 45 60 60 70 60 60 70 50 60 55 70 70 80 Giguere, Wilda 45 70 55 60 55 70 60 60 40 50 80 65 55 60 60 70 55 70 Gillian, Valentine 90 80 60 90 90 80 80 75 100 85 70 65 75 90 75 75 80 80 Glick, Albina 90 80 80 75 85 80 80 75 60 90 90 75 70 100 90 65 80 75 Hochard, Malinda 50 60 70 60 40 55 80 45 60 70 60 65 55 70 60 70 55 55 Hollack, Cecily 65 80 70 70 70 60 75 90 70 65 70 65 80 55 65 80 80 50 Honeywell, Arlette 40 55 45 65 60 60 60 55 55 80 60 70 70 50 70 70 55 60 Hoogland, Tamar 70 80 65 55 70 70 50 75 70 65 80 65 80 90 65 70 80 60 Inouye, Veronika 90 85 90 100 100 90 100 90 80 85 90 85 80 80 100 90 85 100 Isenhower, Lettie 70 50 65 55 60 40 70 70 55 55 80 60 60 55 60 45 60 70 Iturbide, Allene 75 65 80 80 80 90 70 90 75 80 60 85 80 100 75 90 90 75 Juhas, Deeanna 75 65 80 70 80 65 60 50 70 90 80 70 80 65 70 65 55 70 Klonowski, Karl 70 80 70 90 75 65 65 65 55 80 70 70 50 70 65 80 60 80 Kolmetz, Willard 90 80 90 85 90 85 100 100 90 80 90 80 100 85 85 90 100 100 Kusko, Willow 90 75 85 75 75 65 80 90 100 80 80 90 80 75 80 90 60 70 Lindall, Carmelina 55 65 80 80 75 80 90 70 65 70 60 70 70 50 65 70 80 65 Lipke, Elza 60 50 70 60 55 60 70 55 60 45 65 55 70 70 40 55 60 80 Maclead, Abel 80 85 100 90 100 100 100 90 90 85 90 90 85 80 80 90 100 85 Malet, Blair 80 100 90 60 75 65 90 70 75 80 90 80 85 80 80 90 75 75 Marrier, Kris 90 100 85 100 100 100 90 85 85 80 80 80 85 90 90 100 90 90 Mastella, Marjory 75 80 70 70 80 80 60 90 65 65 50 70 70 55 65 65 80 70 Monarrez, Amber 90 75 65 65 65 70 80 50 70 70 70 60 80 55 65 70 80 80
Juhas, Deeanna 75 65 80 70 80 65 60 50 70 90 80 70 80 65 70 65 55 70 Klonowski, Karl 70 80 70 90 75 65 65 65 55 80 70 70 50 70 65 80 60 80 Kolmetz, Willard 90 80 90 85 90 85 100 100 90 80 90 80 100 85 85 90 100 100 Kusko, Willow 90 75 85 75 75 65 80 90 100 80 80 90 80 75 80 90 60 70 Lindall, Carmelina 55 65 80 80 75 80 90 70 65 70 60 70 70 50 65 70 80 65 Lipke, Elza 60 50 70 60 55 60 70 55 60 45 65 55 70 70 40 55 60 80 Maclead, Abel 80 85 100 90 100 100 100 90 90 85 90 90 85 80 80 90 100 85 Malet,Blair 80 100 90 60 75 65 90 70 75 80 90 80 85 80 80 90 75 75 Marrier, Kris 90 100 85 100 100 100 90 85 85 80 80 80 85 90 90 100 90 90 Mastella, Marjory 75 80 70 70 80 80 60 90 65 65 50 70 70 55 65 65 80 70 Monarrez, Amber 90 75 65 65 65 70 80 50 70 70 70 60 80 55 65 70 80 80 Mondella, Vallie 80 55 75 70 70 50 90 80 70 65 70 60 65 65 80 80 70 65 Morasca, Simona 100 80 90 90 100 100 90 85 85 100 90 80 85 100 90 90 80 85 Morocco, Elly 80 80 60 55 70 70 75 80 80 65 65 70 65 70 90 50 70 65 Mulqueen, Timothy 55 70 50 55 60 55 45 40 60 70 60 80 70 65 70 55 60 60 Munns, Myra 60 60 70 80 55 60 45 55 70 70 55 50 65 70 55 60 60 40 Nestle, Lorrie 70 70 90 65 60 65 80 70 55 50 80 65 75 80 65 70 80 70 Nicka, Bette 80 85 85 90 80 100 90 100 90 85 90 90 100 80 90 100 85 100 Oldroyd, Dyan 75 90 75 75 100 80 80 70 80 90 85 90 80 75 65 90 80 60 Ostrosky, Rozella 75 90 80 80 65 80 85 90 90 80 70 60 80 75 75 75 90 100 Paprocki, Lenna 90 100 100 80 90 100 100 90 90 90 80 85 85 85 90 100 85 80 Parlato, Moon 80 55 55 40 70 55 45 60 70 60 60 50 65 60 55 70 70 60 Perin, Lavera 75 90 75 90 80 80 90 90 70 100 65 75 80 75 85 80 80 60 Poquette, Mattie 90 80 100 80 90 100 90 90 85 85 80 90 85 85 90 100 100 100 Pugh, Blondell 80 70 70 65 65 50 70 65 70 60 80 90 75 80 65 70 80 55 Reitler, Laurel 60 45 80 60 40 60 55 55 60 55 70 55 70 70 50 60 65 70 Rhym, Bobbye 70 65 55 80 70 65 70 80 60 75 70 50 70 65 90 80 80 65 Rhymes, Micaela 60 80 90 70 65 75 65 50 80 70 70 65 55 70 80 70 65 80 Rim, Gladys 90 85 80 85 80 85 100 100 100 90 80 100 100 90 85 90 90 90 Royster, Maryann 85 80 85 90 90 85 90 100 80 100 80 90 90 90 100 100 85 100 Rulapaugh, Kati 75 100 60 65 75 80 80 80 90 70 80 80 85 90 75 90 75 90 Ruta, Graciela 80 100 85 100 85 100 90 80 90 90 90 100 85 90 90 85 100 80 Saylors, Fatima 80 80 80 85 90 80 80 100 60 75 90 75 65 70 90 75 75 90 Schemmer, Youlanda 70 75 90 80 100 60 75 65 80 80 85 90 75 80 80 75 90 90 Seewald, Shenika 65 70 65 75 70 80 80 70 80 70 90 50 65 55 70 60 80 65 Sergi, Alishia 70 100 80 90 80 75 80 80 90 75 90 75 65 75 80 90 85 60 Shields, Tyra 60 60 60 70 70 55 50 70 55 80 60 65 45 55 40 70 55 60 Shinko, Solange 90 80 65 75 60 75 90 80 80 75 90 85 80 80 70 100 90 75 Slusarski, Alisha 85 100 90 90 85 100 85 80 85 90 100 90 80 80 100 90 100 90 Stenseth, Ernie 60 80 80 65 80 75 75 90 80 85 75 90 70 80 100 90 75 90 Stockham, Jose 100 75 70 80 90 60 80 80 80 75 65 90 90 90 80 85 75 75 Toelkes, Viva 60 60 55 70 70 70 60 60 65 70 45 80 55 60 50 40 55 55 Tollner, Mitsue 85 90 90 85 90 100 90 100 80 90 90 85 80 100 100 100 80 85 Uyetake, Sabra 90 65 80 80 70 50 70 65 80 65 70 80 70 55 60 75 70 65 Vanausdal, Jamal 90 70 75 80 70 65 70 70 65 80 55 65 65 50 60 80 80 70 Vanheusen, Carma 55 50 55 60 65 40 55 55 45 70 80 60 70 60 70 60 70 60 Venere, Art 85 100 85 90 85 80 100 100 100 90 80 90 90 90 80 90 85 100 Vocelka, Francine 75 85 80 100 75 80 60 90 90 90 70 80 75 80 75 65 90 80 Wardrip, Tammara 60 55 70 60 60 50 80 60 55 70 60 70 55 40 70 65 45 55 Waycott, Kanisha 80 80 70 75 75 80 75 90 80 65 85 90 60 80 90 75 90 100 Weight, Penney 80 70 80 90 70 65 65 65 60 50 55 80 65 70 80 70 75 70 Wenner, Tonette 90 65 75 70 70 80 65 70 80 55 65 70 80 70 60 65 80 50 Whobrey, Yuki 100 80 100 90 85 100 100 100 90 90 85 85 90 85 90 80 80 90 Wieser, Sage 100 80 100 100 85 80 85 90 90 85 90 90 100 90 85 90 80 100 Yglesias, Maurine 70 80 80 70 65 75 65 50 65 80 80 55 70 90 65 60 70 70
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Answer to Can someone please help me solve the in PYTHON without using the with and as statements? Thank you!…