Here's my example, is that what you wanted?
from statistics import mean
items = [
['John', 1,2,3,5,21,2,3,2,1,2,5],
['Alice', 5,31,6,73,4,2,1],
['Bill', 7,4,6,78,3,1,2,21],
['Sarah', 2,3,5,6,4,7,7],
['Martin', 2,4,6,3,8,2,3,3],
]
some_dict = {}
for row in items:
name = row[0]
grades = list(map(int, row[1:]))
print('Average of %s --> %f' % (name, mean(grades)))
some_dict.update({name: {'grades': grades, 'mean': mean(grades)}})
print(some_dict)
print(sorted(some_dict.items()))
Output:
Average of John --> 4.272727
Average of Alice --> 17.428571
Average of Bill --> 15.250000
Average of Sarah --> 4.857143
Average of Martin --> 3.875000
{'John': {'grades': [1, 2, 3, 5, 21, 2, 3, 2, 1, 2, 5], 'mean': 4.2727272727272725}, 'Alice': {'grades': [5, 31, 6, 73, 4, 2, 1], 'mean': 17.428571428571427}, 'Bill': {'grades': [7, 4, 6, 78, 3, 1, 2, 21], 'mean': 15.25}, 'Sarah': {'grades': [2, 3, 5, 6, 4, 7, 7], 'mean': 4.857142857142857}, 'Martin': {'grades': [2, 4, 6, 3, 8, 2, 3, 3], 'mean': 3.875}}
[('Alice', {'grades': [5, 31, 6, 73, 4, 2, 1], 'mean': 17.428571428571427}), ('Bill', {'grades': [7, 4, 6, 78, 3, 1, 2, 21], 'mean': 15.25}), ('John', {'grades': [1, 2, 3, 5, 21, 2, 3, 2, 1, 2, 5], 'mean': 4.2727272727272725}), ('Martin', {'grades': [2, 4, 6, 3, 8, 2, 3, 3], 'mean': 3.875}), ('Sarah', {'grades': [2, 3, 5, 6, 4, 7, 7], 'mean': 4.857142857142857})]