nested dictionary python

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1import collections
2a = collections.defaultdict(collections.Counter)
3inf = [('fruit','apple'),('car','truck'),('fruit','banana'),('fruit','banana')]
4for category,item in inf:
5    a[category][item] = a[category][item] + 1   
6#print(a)
7#{'fruit': Counter({'banana': 2, 'apple': 1}), 'car': Counter({'truck': 1})})

1IDs = ['emp1','emp2','emp3']
2
3EmpInfo = [{'name': 'Bob', 'job': 'Mgr'},
4           {'name': 'Kim', 'job': 'Dev'},
5           {'name': 'Sam', 'job': 'Dev'}]
6
7D = dict(zip(IDs, EmpInfo))
8
9print(D)
10# Prints {'emp1': {'name': 'Bob', 'job': 'Mgr'},
11#         'emp2': {'name': 'Kim', 'job': 'Dev'},
12#         'emp3': {'name': 'Sam', 'job': 'Dev'}}

1nested_dict = { 'dictA': {'key_1': 'value_1'},
2                'dictB': {'key_2': 'value_2'}}

1example_dict.get('key1', {}).get('key2')
2

1people = {1: {'name': 'John', 'age': '27', 'sex': 'Male'},
2          2: {'name': 'Marie', 'age': '22', 'sex': 'Female'}}
3
4people[3] = {}
5
6people[3]['name'] = 'Luna'
7people[3]['age'] = '24'
8people[3]['sex'] = 'Female'
9people[3]['married'] = 'No'
10
11print(people[3])
12
13#Output:
14# {'name': 'Luna', 'age': '24', 'sex': 'Female', 'married': 'No'}

1D = {'emp1': {'name': 'Bob', 'job': 'Mgr'},
2     'emp2': {'name': 'Kim', 'job': 'Dev'},
3     'emp3': {'name': 'Sam', 'job': 'Dev'}}

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