code_samples.py

# from __future__ import print_function

class1 = [20, 10, 90, 10, 80, 70]
class2 = [50, 40, 90, 30, 80, 70]
class3 = [70, 90, 90, 80, 80, 70]

all_exam_results = [class1, class2, class3]

all_exam_results_dict = {
  'class1': [20, 10, 90, 10, 80, 70],
  'class2': [50, 40, 90, 30, 80, 70],
  'class3': [70, 90, 90, 80, 80, 70],
}


# 1. Calculate Mean - function definition -

def calculate_mean(list):
  total = 0
  for number in list:
    total += number
  return total / len(list)

calculate_mean(class1)
calculate_mean(class2)
calculate_mean(class3)

results = []
for _class in all_exam_results:
  results.append(calculate_mean(_class))
print(results)


# 2. Calculate Mean for each classes - map function -

print map(calculate_mean, all_exam_results)


# 3. Calculate mean - lambda function -

print map(lambda x: calculate_mean(x), all_exam_results)


# 4. Calculate mean - reduce function -

def calculate_mean(_list):
  return reduce(lambda x, y: x + y, _list) / len(_list)


# 5. Calculate Mean - lambda function -

calculate_mean = lambda list: reduce(lambda x,y: x+y, list) / len(list)

print calculate_mean(class1)


# 6. Calculate mean for each classes - list format -
print map(calculate_mean, all_exam_results)


# 7. Calculate mean for each classes - dict format -

print map(lambda (k,v) : {k: calculate_mean(v)}, all_exam_results_dict.iteritems())


# 8. Calculate mean for each class in dict and return new dict with mean and notes

print map(lambda (k, v) : {k: {'mean': calculate_mean(v), 'notes': v}}, all_exam_results_dict.iteritems())
print all_exam_results_dict


# 9 - Calculate mean for each classes in dict and return same dict with new keys
map(lambda (k, v) : all_exam_results_dict.update({k : {'mean': calculate_mean(v), 'notes': v}}), all_exam_results_dict.iteritems())

# print all_exam_results_dict