Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your Documentation, Release 4.0.0 >>> class Me(dict): ... deep = defaultdict(dict) ... ... foo = _getitem_property('foo') ... deep_thing = _getitem_property('deep.thing') >>> me = Me() >>> me.foo None >>> me me.foo = 10 >>> me.foo 10 >>> me['foo'] 10 >>> me.deep_thing = 42 >>> me.deep_thing 42 >>> me.deep defaultdict(, {'thing': 42}) celery.utils.objects.mro_lookup(cls, attr, stop=set([]), monkey_patched=[])

Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your import defaultdict >>> class Me(dict): ... deep = defaultdict(dict) ... ... foo = _getitem_property('foo') ... deep_thing = _getitem_property('deep.thing') >>> me = Me() >>> me.foo None >>> >>> me.foo = 10 >>> me.foo 10 >>> me['foo'] 10 >>> me.deep_thing = 42 >>> me.deep_thing 42 >>> me.deep defaultdict(, {'thing': 42}) celery.utils.objects.mro_lookup(cls, attr, stop=set([]),

Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your import defaultdict >>> class Me(dict): ... deep = defaultdict(dict) ... ... foo = _getitem_property('foo') ... deep_thing = _getitem_property('deep.thing') >>> me = Me() >>> me.foo None >>> >>> me.foo = 10 >>> me.foo 10 >>> me['foo'] 10 >>> me.deep_thing = 42 >>> me.deep_thing 42 >>> me.deep defaultdict(, {'thing': 42}) celery.utils.objects.mro_lookup(cls, attr, stop=set([]),

Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your class Me(dict): ... deep = defaultdict(dict) ... 490 Chapter 2. Contents Celery Documentation, Release 4.1.0 ... foo = _getitem_property('foo') ... deep_thing = _getitem_property('deep.thing') >>> me Me() >>> me.foo None >>> me.foo = 10 >>> me.foo 10 >>> me['foo'] 10 >>> me.deep_thing = 42 >>> me.deep_thing 42 >>> me.deep defaultdict(, {'thing': 42}) celery.utils.objects.mro_lookup(cls

Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your collections import defaultdict >>> class Me(dict): ... deep = defaultdict(dict) ... ... foo = _getitem_property('foo') ... deep_thing = _getitem_property('deep.thing') >>> me = Me() >>> me.foo None >>> me me.foo = 10 >>> me.foo 10 >>> me['foo'] 10 >>> me.deep_thing = 42 >>> me.deep_thing 42 >>> me.deep defaultdict(, {'thing': 42}) celery.utils.objects.mro_lookup(cls, attr, stop=set([]), monkey_patched=[])

Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your import defaultdict >>> class Me(dict): ... deep = defaultdict(dict) ... ... foo = _getitem_property('foo') ... deep_thing = _getitem_property('deep.thing') >>> me = Me() >>> me.foo None >>> >>> me.foo = 10 >>> me.foo 10 >>> me['foo'] 10 >>> me.deep_thing = 42 >>> me.deep_thing 42 >>> me.deep defaultdict(, {'thing': 42}) celery.utils.objects.mro_lookup(cls, attr, stop=set([]),

Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your collections import defaultdict >>> class Me(dict): ... deep = defaultdict(dict) ... ... foo = _getitem_property('foo') ... deep_thing = _getitem_property('deep.thing') >>> me = Me() >>> me.foo None >>> me me.foo = 10 >>> me.foo 10 >>> me['foo'] 10 >>> me.deep_thing = 42 >>> me.deep_thing 42 >>> me.deep defaultdict(, {'thing': 42}) celery.utils.objects.mro_lookup(cls, attr, stop=set([]), monkey_patched=[])

Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your collections import defaultdict >>> class Me(dict): ... deep = defaultdict(dict) ... ... foo = _getitem_property('foo') ... deep_thing = _getitem_property('deep.thing') >>> me = Me() >>> me.foo None >>> me me.foo = 10 >>> me.foo 10 >>> me['foo'] 10 >>> me.deep_thing = 42 >>> me.deep_thing 42 >>> me.deep defaultdict(, {'thing': 42}) celery.utils.objects.mro_lookup(cls, attr, stop=set([]), monkey_patched=[])

Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your collections import defaultdict >>> class Me(dict): ... deep = defaultdict(dict) ... ... foo = _getitem_property('foo') ... deep_thing = _getitem_property('deep.thing') >>> me = Me() >>> me.foo None >>> me me.foo = 10 >>> me.foo 10 >>> me['foo'] 10 >>> me.deep_thing = 42 >>> me.deep_thing 42 >>> me.deep defaultdict(, {'thing': 42}) celery.utils.objects.mro_lookup(cls, attr, stop=set([]), monkey_patched=[])

Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your import defaultdict >>> class Me(dict): ... deep = defaultdict(dict) ... ... foo = _getitem_property('foo') ... deep_thing = _getitem_property('deep.thing') >>> me = Me() >>> me.foo None >>> >>> me.foo = 10 >>> me.foo 10 >>> me['foo'] 10 >>> me.deep_thing = 42 >>> me.deep_thing 42 >>> me.deep defaultdict(, {'thing': 42}) celery.utils.objects.mro_lookup(cls, attr, stop=set([]),