请问怎么能提升效率啊？我这代码贼垃圾

问题遇到的现象和发生背景

有一个excel表里有1000项数据，要在十几个word文档里找这些数据，excel中数据能在word里找到就标记一下。问题：把遍历表格那段注释掉以后运行速度还行，加上遍历表格就巨慢，怎么能提升效率啊？

问题相关代码，请勿粘贴截图

from openpyxl import workbook
from openpyxl import load_workbook
from docx import Document
import os

def search(docname):

    document = Document(docname)
     

    for i in range(1038):
        a=i+1
        #print(ws.cell(a,4).value)
        searchtarget = ws.cell(a,4).value
        
        for paragraph in document.paragraphs:
            #print(paragraph.text)
            p=str(searchtarget)
            pp=str(paragraph.text)
            if p in pp:

                print(ws.cell(a,4).value)
                ws.cell(a,13).value=docname
                
        tables=document.tables   #遍历表格
        for tb in document.tables:

            ii=0
            jj=0
        
            for i in tb.rows:
                jj=0
            
                for j in tb.columns:
                    p=str(searchtarget)
                    pp=str(tb.cell(ii,jj).text)
                    try:
                        if p in pp:
                            print(ws.cell(a,4).value)
                            ws.cell(a,13).value=docname
                            
                    except:
                        print("error")
                    
                        break
                    if jjjj=jj+1
                if iiii=ii+1


if __name__ == "__main__":

    excel=load_workbook('新建 Microsoft Excel 工作表.xlsx')
    ws=excel['Sheet1']
    search('卷）.docx')
    search('卷）.docx')
    search('卷）.docx')
    search('册二).docx')
    search('册三).docx')
    search('册一).docx')
    search('册).docx')
    search('明书.docx')
    search('书.docx')
    search('册.docx')
    search('册.docx')
    search('书.docx')

import pandas as pd
df = pd.read_excel('新建 Microsoft Excel 工作表.xlsx', index_col=None)
df = df[df["某一列"].str.contains("卷）.docx")]