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The basic operations supported by Python include unconditional imports, variable lookups (and comparisons), list comprehension, dictionary comprehension and assignment.This is similar to Python 3, but there are two notable differences.First, Python 3 does not support list comprehension:if ['a','b','c'] == ['a','c','c']: print('yes!');First, Python 3 does not support dictionary comprehension:if {'a':1, 'b': 2, 'c': 3}: print('yes it is!')The second difference is that Python 3 has hash syntax for dictionary keys, where-- as a matter of fact -- that the syntax is mainly used for sets, not dictionaries():First, Python 3 does not support hash syntax for dictionary keys:print({'a':1, 'b': 2, 'c': 3});[1,2,3] == [1, 2, 3] -- no, that doesn't make sense!The reason is that the hash syntax is not a part of the language itself, but wasadded by guido van Rossum. The syntax is specified in PEP3123, a proposal fora dict type which added support for set semantics.In this way, hash syntax and {} is basically equivalent to set syntax and {},except that you can easily modify items in a dict, whereas with sets, youcan't:>>> e={1:'a', 2:'b', 3:'c'}>>> set(['a','b','c']).add('d');Traceback (most recent call last):...> File \"\", line 1, in AttributeError:'set' object attribute 'add' is not writable.>>> e['a'] = 'd'The main features of this new set syntax, of course, are that it can representset of keys, and that the union operator now returns a set instead ofa dict.Dictionary types (Dicts)The dict type is a dictionary that does not support multiwordkey names. It is based on Python 2's builtin dict type, but it alsoimplements a number of Python 3 language features, such as tuple keys,native sets, and the set data type.The dict class is generated by python. As such, it is not a purepython type, but can be extended by implementing type.__init__ andtype.__setitem__. You would also need to implement type. 7211a4ac4a
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