Python Lists

  • Do lists in Python work like arrays or like linked lists?  I mean in terms of performance.  Is list[0] always as fast as list[1000], or does list.append(x) take constant time?

    Suppose I'm translating a string like "1234" into "onetwothreefour".  In C++ or Java I can think of three ways (in pseudocode that sort of mixes Java and C++):


       if (a == '1') then str = str + "one";

       else if (a == '2') then str = str + "two";  etc.


       Define a hashtable:  1 -> "one", 2 -> "two"



       Array 1 contains pointers or refs to strings:  [ "zero", "one", "two", ...]

       Array 2 is a large array of char.  a2ix points to next unused one (plus other overhead to keep track of end).

       strcpy(array2 + a2ix, string at array1[a - '0']);  then point a2ix to next null byte.

    What's the fastest way in Python?


  • Depends on your implementation (AFAIK). At least CPython (what you get at has a Vector-like implementation (i.e. array of references).

    "The fastest way"™ in Python is in most cases to just write good code, using the appropriate data structures and the like. For your weird problem that would be something like:

    >>> digit_as_word = {'0': 'zero', '1': 'one', ..., '9': 'nine'}
    >>> ''.join( digit_as_word[x] for x in '1234' )

  • @newfweiler said:

    Do lists in Python work like arrays or like linked lists?


    And Radiation Dude approach to the problem looks good to me.

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