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Home/ Questions/Q 546489
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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T10:52:20+00:00 2026-05-13T10:52:20+00:00

In python I have noticed that if you do mylist = [] for i

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In python I have noticed that if you do

mylist = []

for i in range(0,100000000):
    mylist.append('something here to take memory')

mylist = []

it would seem the second call

mylist = []

would remove the reference and it would get collected but, as I watch them memory it does not.

when I use

del mylist[:]

it almost deletes everything but a few megs (just looking at the process)

when I use

del mylist[:]
gc.collect()

I would seem to return to the same amount of memory from before the list was created

so…. why does

mylist = []

not work??? Nothing else is referencing it as far as I can tell

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  1. Editorial Team
    Editorial Team
    2026-05-13T10:52:21+00:00Added an answer on May 13, 2026 at 10:52 am

    How do you measure that?

    I’ve made a small test that does not confirm your results.
    Here is the source:

    import meminfo, gc, commands
    
    page_size = int(commands.getoutput("getconf PAGESIZE"))
    
    def stat(message):
        s = meminfo.proc_stat()
        print "My memory usage %s: RSS: %dkb, VSIZE: %dkb" % (
            message, s['rss']*page_size/1024, s['vsize']/1024)
    mylist = []
    
    stat("before allocating a big list")
    for i in range(0,3000000):
        mylist.append('something here to take memory')
    
    stat("after allocating big list")
    ### uncomment one of these:
    mylist = []
    # del mylist[:]
    stat("after dropping a big list")
    gc.collect()
    stat("after gc.collect()")
    gc.collect()
    stat("after second gc.collect()")
    gc.collect()
    stat("after third gc.collect()")
    

    The meminfo module used is here: http://gist.github.com/276090

    These are the results with mylist=[]:

    My memory usage before allocating a big list: RSS: 3396kb, VSIZE: 7324kb
    My memory usage after allocating big list: RSS: 50700kb, VSIZE: 55084kb
    My memory usage after dropping a big list: RSS: 38980kb, VSIZE: 42824kb
    My memory usage after gc.collect(): RSS: 38980kb, VSIZE: 42824kb
    My memory usage after second gc.collect(): RSS: 38980kb, VSIZE: 42824kb
    My memory usage after third gc.collect(): RSS: 38980kb, VSIZE: 42824kb
    

    This are the results with del mylist[:]:

    My memory usage before allocating a big list: RSS: 3392kb, VSIZE: 7324kb
    My memory usage after allocating big list: RSS: 50696kb, VSIZE: 55084kb
    My memory usage after dropping a big list: RSS: 38976kb, VSIZE: 42824kb
    My memory usage after gc.collect(): RSS: 38976kb, VSIZE: 42824kb
    My memory usage after second gc.collect(): RSS: 38976kb, VSIZE: 42824kb
    My memory usage after third gc.collect(): RSS: 38976kb, VSIZE: 42824kb
    

    Python may allocate memory for its own heap, but it does not necessarily free it immediately after garbage collection.

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