I wonder if there's standard library's support in Python for doing next thing:
x = {'foo': 123, 'bar': 'hello'}
y = std_lib.attr_dict(x)
y.onemore = [1,2,3]
print(y.foo, y['foo'], y.bar, y['bar'], y.onemore, y['onemore'], y.get('notexist', 'NE'))
# prints: 123 123 hello hello [1,2,3] [1,2,3] NE
print(list(dict(y).keys())) # Back conversion to dict
# prints: ['foo', 'bar', 'onemore']
Like there is collections
standard library, it might have such attr_dict()
class.
I'm pretty sure there are good implementations of this in pip
modules, can you suggest the most-popular/most-rich pip
modules for doing that?
Or maybe it can be also achieved in just few lines of pure Python code somehow?
Also would be interesting to support nested dictionaries/attributes, like y.first.second = 123
.