itertools.groupby() is your solution.
newlst = [k for k, g in itertools.groupby(lst)]
If you wish to group and limit the group size by the item's value, meaning 8 4's will be [4,4], and 9 3's will be [3,3,3] here are 2 options that does it:
import itertools
def special_groupby(iterable):
last_element = 0
count = 0
state = False
def key_func(x):
nonlocal last_element
nonlocal count
nonlocal state
if last_element != x or x >= count:
last_element = x
count = 1
state = not state
else:
count += 1
return state
return [next(g) for k, g in itertools.groupby(iterable, key=key_func)]
special_groupby(lst)
OR
def grouper(iterable, n, fillvalue=None):
"Collect data into fixed-length chunks or blocks"
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx"
args = [iter(iterable)] * n
return itertools.zip_longest(*args, fillvalue=fillvalue)
newlst = list(itertools.chain.from_iterable(next(zip(*grouper(g, k))) for k, g in itertools.groupby(lst)))
Choose whichever you deem appropriate. Both methods are for numbers > 0.