While Mark Mikofski's answer works, there is a faster solution by assigning slices:
import string
# The longer the list the more speed up for list3
# letters = ['a','b','c','d','e','f','g','h','i','j']
letters = list(string.ascii_letters)
print("org:", letters)
# Use enumerate to get index, add 'x' every 3rd letter, eg: mod(n, 3) == 2, then concatenate into string and list() it.
list1 = list(''.join(l + 'x' * (n % 3 == 2) for n, l in enumerate(letters)))
print("list1:", list1)
%timeit list(''.join(l + 'x' * (n % 3 == 2) for n, l in enumerate(letters)))
# But as @sancho.s points out this doesn't work if any of the elements have more than one letter.
# Use nested comprehensions to flatten a list of lists(a), sliced in groups of 3 with 'x' added if less than 3 from end of list.
list2 = [x for y in (letters[i:i+3] + ['x'] * (i < len(letters) - 2) for i in range(0, len(letters), 3)) for x in y]
print("list2:", list2)
%timeit [x for y in (letters[i:i+3] + ['x'] * (i < len(letters) - 2) for i in range(0, len(letters), 3)) for x in y]
# Use list slice assignments
len_letters = len(letters)
len_plus_x = ll // 3
list3 = [None for _ in range(len_letters + len_plus_x)]
list3[::4] = letters[::3]
list3[2::4] = letters[2::3]
list3[1::4] = letters[1::3]
list3[3::4] = ['x' for _ in range(len_plus_x)]
print("list3:", list3)
%timeit ll = len(letters); lp = ll//3; new_letters = [None for _ in range(ll + lp)]; new_letters[::4] = letters[::3]; new_letters[2::4] = letters[2::3]; new_letters[1::4] = letters[1::3]; new_letters[3::4] = ['x' for _ in range(lp)]
produces (using jupyter notebook)
org: ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']
list1: ['a', 'b', 'c', 'x', 'd', 'e', 'f', 'x', 'g', 'h', 'i', 'x', 'j', 'k', 'l', 'x', 'm', 'n', 'o', 'x', 'p', 'q', 'r', 'x', 's', 't', 'u', 'x', 'v', 'w', 'x', 'x', 'y', 'z', 'A', 'x', 'B', 'C', 'D', 'x', 'E', 'F', 'G', 'x', 'H', 'I', 'J', 'x', 'K', 'L', 'M', 'x', 'N', 'O', 'P', 'x', 'Q', 'R', 'S', 'x', 'T', 'U', 'V', 'x', 'W', 'X', 'Y', 'x', 'Z']
13 µs ± 1.09 µs per loop (mean ± std. dev. of 7 runs, 100000 loops each)
list2: ['a', 'b', 'c', 'x', 'd', 'e', 'f', 'x', 'g', 'h', 'i', 'x', 'j', 'k', 'l', 'x', 'm', 'n', 'o', 'x', 'p', 'q', 'r', 'x', 's', 't', 'u', 'x', 'v', 'w', 'x', 'x', 'y', 'z', 'A', 'x', 'B', 'C', 'D', 'x', 'E', 'F', 'G', 'x', 'H', 'I', 'J', 'x', 'K', 'L', 'M', 'x', 'N', 'O', 'P', 'x', 'Q', 'R', 'S', 'x', 'T', 'U', 'V', 'x', 'W', 'X', 'Y', 'x', 'Z']
13.7 µs ± 336 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
list3: ['a', 'b', 'c', 'x', 'd', 'e', 'f', 'x', 'g', 'h', 'i', 'x', 'j', 'k', 'l', 'x', 'm', 'n', 'o', 'x', 'p', 'q', 'r', 'x', 's', 't', 'u', 'x', 'v', 'w', 'x', 'x', 'y', 'z', 'A', 'x', 'B', 'C', 'D', 'x', 'E', 'F', 'G', 'x', 'H', 'I', 'J', 'x', 'K', 'L', 'M', 'x', 'N', 'O', 'P', 'x', 'Q', 'R', 'S', 'x', 'T', 'U', 'V', 'x', 'W', 'X', 'Y', 'x', 'Z']
4.86 µs ± 35.6 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)