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Home/ Questions/Q 6657231
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Editorial Team
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Editorial Team
Asked: May 26, 20262026-05-26T01:44:32+00:00 2026-05-26T01:44:32+00:00

What’s the difference between lst = range(100) and lst[:] = range(100) Before that assignment

  • 0

What’s the difference between

lst  = range(100)

and

lst[:] = range(100)

Before that assignment the lst variable was already assigned to a list:

lst = [1, 2, 3]
lst = range(100)

or

lst = [1, 2, 3]
lst[:] = range(100)
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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-26T01:44:33+00:00Added an answer on May 26, 2026 at 1:44 am

    When you do

    lst = anything
    

    You’re pointing the name lst at an object. It doesn’t change the old object lst used to point to in any way, though if nothing else pointed to that object its reference count will drop to zero and it will get deleted.

    When you do

    lst[:] = whatever
    

    You’re iterating over whatever, creating an intermediate tuple, and assigning each item of the tuple to an index in the already existing lst object. That means if multiple names point to the same object, you will see the change reflected when you reference any of the names, just as if you use append or extend or any of the other in-place operations.

    An example of the difference:

    >>> lst = range(1, 4)
    >>> id(lst)
    74339392
    >>> lst = [1, 2, 3]
    >>> id(lst)  # different; you pointed lst at a new object
    73087936
    >>> lst[:] = range(1, 4)
    >>> id(lst)  # the same, you iterated over the list returned by range
    73087936
    >>> lst = xrange(1, 4)
    >>> lst
    xrange(1, 4)   # not a list, an xrange object
    >>> id(lst)   # and different
    73955976
    >>> lst = [1, 2, 3]
    >>> id(lst)    # again different
    73105320
    >>> lst[:] = xrange(1, 4) # this gets read temporarily into a tuple
    >>> id(lst)   # the same, because you iterated over the xrange
    73105320
    >>> lst    # and still a list
    [1, 2, 3]
    

    When it comes to speed, slice assignment is slower. See Python Slice Assignment Memory Usage for more information about its memory usage.

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