Microsoft® Azure Official Site, Build Better Web Apps Faster in the Azure Cloud w/ a Managed Platform Optimized for Python Ordered dict in Python version 2.7 consumes more memory than normal dict. This is due to the underlying Doubly Linked List implementation for keeping the order. In case we want to circumvent this, can forcefully use python implementation: py_coll = import_fresh_module('collections', blocked=['_collections']) OrderedDict = py_coll.OrderedDict It acts similar to a dictionary, i.e. GitHub, class OrderedDict(dict):. Only difference is that it remembers the order how the keys are inserted to the dictionary. The OrderedDict implementation is in C in 3.5 which would not allow to inherit '_map' attribute. $ python3.6 collections_ordereddict_iter.py Regular dictionary: a A b B c C OrderedDict: a A b B c C This is an implementation of an ordered dictionary with Key Insertion Order (KIO: updates of values do not affect the position of the key), Key Value Insertion Order (KVIO, an existing key’s position is removed and put at the back). This library is obsolete! Cython implementation of OrderedDict This library is obsolete! However its implementation approach is minimalistic and if that is not enough you should look at odict by Foord/Larossa or ordereddict (by me) as in that case those are a better fit. However, there are at least two good reasons to continue using OrderedDict. The Python standard library's OrderedDict ported to Cython. The OrderedDict is a standard library class, which is located in the collections module. Python 3.5's collections.OrderedDict was rewritten in C, and is now significantly faster than cyordereddict.OrderedDict for almost all operations. The OrderedDict is a subclass of dict object in Python. # An inherited dict maps keys to values. The ordereddict module in short. 'Dictionary that remembers insertion order'. Under Python 3.6, the built-in dict does track insertion order, although this behavior is a side-effect of an implementation change and should not be relied on. You might think that this change makes the OrderedDict class obsolete. If you worked with Python 2 or an early version of Python 3, you probably remember that, in the past, dictionaries were not ordered. This is an implementation of an ordered dictionary with Key Insertion Order (KIO: updates of values do not affect the position of the key), Key Value Insertion Order (KVIO, an existing key's position is removed and put at the back). it will have all the methods than a dictionary have. Let us see an example of ordered dictionary and how it differs from regular dictionary in Python. In the dict, the ordering may or may not be happen. Python 2.7 and later have OrderedDict in the collections module, so you should consider that as 'standard'. If its functionality is enough you should probably be using that. Ordered Dictionary in python 3 with example : Ordered Dictionary or OrderedDict is subclass of Dictionary in python . Python OrderedDict implementation. The only difference between OrderedDict and dict is that, in OrderedDict, it maintains the orders of keys as inserted. Python 3.5's collections.OrderedDict was rewritten in C, and is now significantly faster than cyordereddict.OrderedDict for almost all operations.. cyordereddict. # The inherited dict provides __getitem__, __ len__, Ordered dict in Python version 2.7 consumes more memory than normal dict. 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