I C# we do it through reflection. In Javascript it is simple as:

for(var propertyName in objectName)
    var currentPropertyValue = objectName[propertyName];

How to do it in Python?

for property, value in vars(theObject).items():
    print(property, ":", value)

Be aware that in some rare cases there’s a __slots__ property, such classes often have no __dict__.

See inspect.getmembers(object[, predicate]).

Return all the members of an object in a list of (name, value) pairs sorted by name. If the optional predicate argument is supplied, only members for which the predicate returns a true value are included.

>>> [name for name,thing in inspect.getmembers([])]
['__add__', '__class__', '__contains__', '__delattr__', '__delitem__', 
'__delslice__',    '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', 
'__getitem__', '__getslice__', '__gt__', '__hash__', '__iadd__', '__imul__', '__init__', '__iter__', 
'__le__', '__len__', '__lt__', '__mul__', '__ne__', '__new__', '__reduce__','__reduce_ex__', 
'__repr__', '__reversed__', '__rmul__', '__setattr__', '__setitem__', '__setslice__', 
'__sizeof__', '__str__', '__subclasshook__', 'append', 'count', 'extend', 'index', 
'insert', 'pop', 'remove', 'reverse', 'sort']
>>> 

dir() is the simple way. See here:

Guide To Python Introspection

The __dict__ property of the object is a dictionary of all its other defined properties. Note that Python classes can override getattr and make things that look like properties but are not in__dict__. There’s also the builtin functions vars() and dir() which are different in subtle ways. And __slots__ can replace __dict__ in some unusual classes.

Objects are complicated in Python. __dict__ is the right place to start for reflection-style programming. dir() is the place to start if you’re hacking around in an interactive shell.

for one-liners:

print vars(theObject)

If you’re looking for reflection of all properties, the answers above are great.

If you’re simply looking to get the keys of a dictionary (which is different from an ‘object’ in Python), use

my_dict.keys()

my_dict = {'abc': {}, 'def': 12, 'ghi': 'string' }
my_dict.keys() 
> ['abc', 'def', 'ghi']

This is totally covered by the other answers, but I’ll make it explicit. An object may have class attributes and static and dynamic instance attributes.

class foo:
    classy = 1
    @property
    def dyno(self):
        return 1
    def __init__(self):
        self.stasis = 2

    def fx(self):
        return 3

stasis is static, dyno is dynamic (cf. property decorator) and classy is a class attribute. If we simply do __dict__ or vars we will only get the static one.

o = foo()
print(o.__dict__) #{'stasis': 2}
print(vars(o)) #{'stasis': 2}

So if we want the others __dict__ will get everything (and more). This includes magic methods and attributes and normal bound methods. So lets avoid those:

d = {k: getattr(o, k, '') for k in o.__dir__() if k[:2] != '__' and type(getattr(o, k, '')).__name__ != 'method'}
print(d) #{'stasis': 2, 'classy': 1, 'dyno': 1}

The type called with a property decorated method (a dynamic attribute) will give you the type of the returned value, not method. To prove this let’s json stringify it:

import json
print(json.dumps(d)) #{"stasis": 2, "classy": 1, "dyno": 1}

Had it been a method it would have crashed.

TL;DR. try calling extravar = lambda o: {k: getattr(o, k, '') for k in o.__dir__() if k[:2] != '__' and type(getattr(o, k, '')).__name__ != 'method'} for all three, but not methods nor magic.