pandas big text filtering of a column

Question

I have table 500rows x 7columns Im using pandas

1. I filter last column with .str.contains

   filtered_table = table[
   (table['template'].str.contains("1A06", regex=True, case=False)) |
   (table['template'].str.contains("1A9U", regex=True, case=False)) |
   (table['template'].str.contains("1APM", regex=True, case=False)) |
   (table['template'].str.contains("1AQ1", regex=True, case=False)) |
   (table['template'].str.contains("1ATP", regex=True, case=False)) |
   (table['template'].str.contains("1B38", regex=True, case=False)) |
   (table['template'].str.contains("1B39", regex=True, case=False)) |
   ...~2000x
   (table['template'].str.contains("1BKX", regex=True, case=False)) |
   (table['template'].str.contains("1BL6", regex=True, case=False)) |
   (table['template'].str.contains("1BL7", regex=True, case=False)) |
   (table['template'].str.contains("1BLX", regex=True, case=False)) ]
   

Everything works fine, but pandas autors(?) changed something and script does not work

RecursionError: maximum recursion depth exceeded during compilation

Change in sys.setrecursionlimit() did not help

2. Its crazy now because I have a list of 3000 x 4 leters filters eg. 'xyz1'

Do you know any alternative options?