DotMap

DotMap is a dot-access dict subclass that

has dynamic child creation
can be initialized with keys
easily initializes from dict
easily converts to dict
is ordered by insertion

The key feature is exactly what you want: dot-access

from dotmap import DotMap
m = DotMap()
m.name = 'Joe'
print 'Hello ' + m.name
# Hello Joe

However, DotMap is a dict and you can treat it like a dict as needed

print m['name']
# Joe
m.name += ' Smith'
m['name'] += ' Jr'
print m.name
# Joe Smith Jr

It also has fast, automatic hierarchy (which can be deactivated by initializing with DotMap(_dynamic=False))

m = DotMap()
m.people.steve.age = 31

And key initialization

m = DotMap(a=1, b=2)

You can initialize it from dict and convert it to dict

d = {'a':1, 'b':2}

m = DotMap(d)
print m
# DotMap(a=1, b=2)

print m.toDict()
# {'a': 1, 'b': 2}

And it has iteration that is ordered by insertion

m = DotMap()

m.people.john.age = 32
m.people.john.job = 'programmer'
m.people.mary.age = 24
m.people.mary.job = 'designer'
m.people.dave.age = 55
m.people.dave.job = 'manager'

for k, v in m.people.items():
        print k, v
print

# john DotMap(age=32, job='programmer')
# mary DotMap(age=24, job='designer')
# dave DotMap(age=55, job='manager')

There is also built-in pprint as dict or json for debugging a large DotMap

m.pprint()
# {'people': {'dave': {'age': 55, 'job': 'manager'},
#             'john': {'age': 32, 'job': 'programmer'},
#             'mary': {'age': 24, 'job': 'designer'}}}
m.pprint(pformat='json')
# {
#     "people": {
#         "dave": {
#             "age": 55,
#             "job": "manager"
#         },
#         "john": {
#             "age": 32,
#             "job": "programmer"
#         },
#         "mary": {
#             "age": 24,
#             "job": "designer"
#         }
#     }
# }

And many other features involving dots and dictionaries that will be immediately intuitive when used.

maharjun/dotmap

DotMap