In Python.

You have started your own company (congratulations!) that sells cute dog pictures. The file available named "sales.json" holds the sales of each day of the past year. Use the load function of the json module and the open built-in function to access the data in this file and print the average sales for the entire year (using the Sum and Count pattern).

sum pattern

sum = 0

for item in a_list

sum = sum + item

count pattern

count = 0

for item in a_list

count = count + 1

sales.json

[911.15, 1136.34, 872.03, 894.44, 1099.52, 1065.87, 1033.29, 1224.24, 883.07, 1260.14, 1011.57, 910.28, 941.62, 844.24, 1161.68, 919.9, 814.59, 1064.5, 913.12, 1137.3, 962.34, 979.25, 907.83, 990.99, 1110.69, 1010.35, 876.52, 1129.49, 834.49, 1115.12, 1101.72, 1102.5, 909.42, 1166.48, 1011.2, 1138.01, 1175.25, 950.86, 1132.81, 786.67, 866.86, 1119.29, 950.24, 956.61, 1132.45, 876.86, 979.24, 936.77, 972.52, 1155.65, 918.41, 994.6, 857.96, 1164.99, 1094.37, 1043.25, 1112.53, 1133.7, 1220.73, 1072.77, 1034.75, 1133.28, 1021.64, 1057.54, 865.47, 996.03, 1214.58, 922.35, 912.92, 985.26, 1255.89, 1035.66, 949.23, 954.49, 943.99, 1254.5, 1071.76, 1095.84, 1021.62, 1047.05, 694.42, 1014.13, 1012.63, 987.71, 1091.1, 1060.01, 909.82, 1203.05, 981.47, 849.15, 1060.41, 947.91, 1044.57, 1137.45, 986.85, 972.31, 933.94, 1135.71, 998.93, 1047.57, 993.17, 861.09, 954.42, 976.09, 1060.28, 1157.98, 1067.41, 1305.02, 1282.33, 1128.2, 1227.94, 1292.34, 1176.82, 985.38, 957.24, 995.26, 823.24, 982.35, 893.56, 1051.88, 1054.83, 1309.99, 966.28, 986.56, 891.29, 1129.03, 1062.96, 1152.34, 875.12, 1124.56, 1155.2, 1155.36, 1122.62, 1075.9, 1123.01, 1208.98, 987.1, 1064.69, 1016.01, 1079.51, 1241.18, 1012.84, 1015.95, 1103.88, 991.63, 916.74, 1144.64, 1155.62, 1030.55, 1097.42, 1153.02, 1102.44, 1176.89, 1130.34, 979.62, 1074.35, 1045.72, 1065.48, 1026.57, 1138.26, 1018.55, 1168.18, 964.64, 935.16, 1023.37, 1118.44, 1034.02, 1048.81, 905.15, 1024.07, 1007.56, 939.96, 843.4, 1123.7, 1130.96, 1020.35, 938.21, 1102.38, 1014.67, 1167.83, 985.28, 1010.65, 1065.0, 1057.32, 1174.08, 1167.57, 1183.51, 963.77, 1111.02, 1156.93, 1247.87, 995.34, 1180.28, 1052.77, 1140.56, 1155.49, 1263.62, 1255.16, 1121.0, 1083.64, 946.39, 1031.37, 1130.64, 1180.0, 1231.12, 1201.75, 932.79, 1273.39, 1060.91, 930.35, 1227.58, 1150.08, 1141.26, 1152.91, 1167.51, 1123.36, 1344.73, 1253.99, 1013.93, 1206.09, 1003.38, 1083.16, 1059.09, 1199.37, 1185.96, 1274.17, 1299.3, 1135.35, 1070.3, 1182.83, 1306.7, 992.2, 1129.73, 795.36, 1004.5, 1187.24, 1244.41, 1013.16, 1146.26, 1161.29, 1195.38, 1017.68, 1166.3, 1264.26, 1228.04, 1074.16, 1095.37, 1038.6, 1257.41, 1120.74, 1021.0, 1173.81, 1219.85, 1172.47, 1290.09, 1074.48, 1217.23, 1075.44, 895.97, 962.46, 1192.65, 1070.15, 1183.04, 1105.65, 1099.08, 1106.82, 1127.86, 1215.6, 1127.33, 1166.0, 1377.46, 1160.5, 1063.91, 1075.07, 1100.73, 1138.3, 1131.67, 1151.85, 1067.95, 1066.01, 1054.63, 985.28, 1033.34, 1085.31, 1320.32, 1165.31, 1278.56, 962.53, 1178.73, 979.09, 1036.28, 1243.85, 1207.88, 1081.51, 1034.08, 1036.91, 1248.44, 1191.8, 1075.45, 1190.44, 1078.16, 1067.67, 1159.71, 1002.37, 1207.05, 1150.97, 1146.62, 1131.24, 1150.22, 1023.72, 1163.27, 1183.26, 1129.01, 1295.35, 992.8, 1026.04, 1138.15, 1193.21, 1163.61, 1329.73, 1250.16, 1143.47, 1172.16, 1061.67, 1053.88, 1371.74, 1274.31, 1163.63, 1211.39, 1122.26, 1124.38, 1053.38, 1019.32, 1336.04, 1116.46, 1150.27, 1324.75, 1192.63, 1309.1, 1150.31, 1281.37, 1207.23, 1086.88, 1132.32, 1221.73, 1161.69, 900.14, 1119.06, 1265.14, 1090.41, 1006.88, 1205.77, 1320.42, 1125.44, 1291.51, 1069.33, 1024.78, 962.39, 1114.9, 1141.25, 1100.02, 1080.33, 1002.9, 1265.88, 1186.42]