In idiomatic Lisp, it's rather common to search a list for a value, cdr it, and cons that cdr to the collection you're building up. Python has nothing like that, because what I said makes no sense in terms of Python lists.
If you want shared structure of lists in Python, use `itertools.chain`.
If you want key-value mappings, use a dict. Order is preserved by default nowadays, and conversion to/from an iterable of 2-tuples is trivial.
That would involve zero shared structure. itertools.chain is just an iterator that iterates one iterable and then, instead of declaring that it's done, goes on to iterate another one.
Shared structure between lists means that two lists refer to some of the same regions of memory.
zip(*[it]*N)
Example: >>> L = [1, 2, 3, 4]
>>> *zip(*[iter(L)]*2),
((1, 2), (3, 4))
Here's the single result of the iter() call is shared. The purpose is to show that iterator can be shared in principle (ignore other aspects of the code).A great mainstream example of this are JavaScript Arrays. They are defined to behave as hashtables. They inherit from Object. Their "indices" are actually strings instead of numbers (all object keys are strings and numbers get converted to strings before the lookup happens).
Despite that spec model, JS arrays have used a very different representation in practice for decades. Even in the dark ages, arrays were implemented as linked lists. Today, they might be hashtables, linked lists, boxed objects, or even unboxed primitives all while still pretending to be hashtables.
Cons doesn't have to return a linked list element.
"list: a chain of conses in which the car of each cons is an element of the list, and the cdr of each cons is either the next link in the chain or a terminating atom." -- https://www.lispworks.com/documentation/HyperSpec/Body/26_gl...
Interpret that as you will. But what "world of difference" optimizations are you suggesting here? Give an example of a significant optimization at the implementation level that preserves cons semantics.