Как ускорить выполнение программы

Помогите пожалуйста! Подскажите как можно ускорить мою программу?

import zipfile
import os
import xlwings as xw
import numpy as np
import time
import pandas as pd
import urllib.request

book = xw.Book('bestdata.xlsx')
sheet1 = book.sheets[1]
sheet2 = book.sheets[2]
sheet3 = book.sheets[3]

def chunks(lst, n):
    """Yield successive n-sized chunks from lst."""
    for i in range(0, len(lst), n):
        yield lst[i:i + n]

def bestchange_info():

    print('Begining...')

    url = "http://api.bestchange.ru/info.zip"
    urllib.request.urlretrieve(url, '/Users/Sergey/PycharmProjects/BestChange arbitrage/info.zip')

    z = zipfile.ZipFile('info.zip', 'r')
    z.extractall()
    z.close()

    need_curr = ['93', '82', '76', '99', '2', '8', '10', '16', '19', '23', '24', '26', '27', '32', '36', '43', '48', '61', '104', '110', '115', '124', '133', '134', '135', '137',
    '138', '139', '140', '149', '160', '161', '162', '163', '168', '172', '173', '175', '177', '178', '179', '180', '181', '182', '184', '185', '189', '197',
    '198', '201', '202', '203', '205', '206', '208', '210', '212', '213', '216', '217', '218', '220', '227', '228', '235']

    datContent = open('bm_cy.dat').read()
    dam = datContent.split(sep='\n')
    df = pd.DataFrame(dam)
    df = df[0].str.split(';', expand=True)
    df.columns = ['ID-curr', 'number', 'name', 'symbol', '1', '2', '3']
    df = df[['ID-curr', 'name', 'symbol']]
    y = []
    for i in need_curr:
        for j in df[['ID-curr', 'name', 'symbol']].values.tolist():
            if j[0] == i:
                x = y + j
                y = x
            else:
                continue
    my_list = np.array(y)
    my_list = np.split(my_list, 65)
    df1 = pd.DataFrame(my_list)
    df1.columns = ['ID-curr', 'name', 'symbol']


    datCon = open('bm_exch.dat').read()
    dem = datCon.split(sep='\n')
    df_exch = pd.DataFrame(dem)
    df_exch = df_exch[0].str.split(';', expand=True)
    df_exch.columns = ['ID-ex', 'name', '1', '2', '3']
    df_exch = df_exch[['ID-ex', 'name']]
    df_exch = df_exch.set_index('ID-ex')
    sheet2["A1"].value = df_exch

    datCont = open('bm_rates.dat').read()
    doom = datCont.split(sep='\n')
    df_need = pd.DataFrame(doom)
    df_need = df_need[0].str.split(';', expand=True)
    df_need.columns = ['ID-Give', 'ID-Get', 'ID-Exch', 'curr-give', 'curr-get', 'reserv', 'otziv', '1', 'min-give', 'max-give', 'ID-City']
    mac = df_need.loc[df_need['ID-Give'].isin(need_curr)]
    musk = mac.loc[mac['ID-Get'].isin(need_curr)]
    musk = musk.values.tolist()
    for i in musk:
        d = f'https://www.bestchange.ru/click.php?id={i[2]}'
        i.append(d)
    df3 = pd.DataFrame(musk)
    df3.columns = ['ID-Give', 'ID-Get', 'ID-Exch', 'curr-give', 'curr-get', 'reserv', 'otziv', '1', 'min-give', 'max-give',
           'ID-City', 'url']
    m = df3.values.tolist()
    t0 = time.time()
    q = []
    for j in m:
        for l in df1.values.tolist():
            if j[0] == l[0]:
                j[0] = l[1]
        q = q + j
    ad = list(chunks(q, 12))
    df2 = pd.DataFrame(ad)
    df2.columns = ['ID-Give', 'ID-Get', 'ID-Exch', 'curr-give', 'curr-get', 'reserv', 'otziv', '1', 'min-give', 'max-give',
            'ID-City', 'url']
    mynewlist = df2.values.tolist()
    g = []
    for k in mynewlist:
        for m in df1.values.tolist():
            if k[1] == m[0]:
                k[1] = m[1]
        g = g + k
    final = list(chunks(g, 12))
    final_df = pd.DataFrame(final)
    final_df.columns = ['ID-Give', 'ID-Get', 'ID-Exch', 'curr-give', 'curr-get', 'reserv', 'otziv', '1', 'min-give',
               'max-give',
               'ID-City', 'url']
    final_df = final_df[['ID-Give', 'ID-Get', 'ID-Exch', 'curr-give', 'curr-get', 'otziv', 'min-give',
               'max-give', 'url']]
    final_df.set_index('ID-Give')
    print(final_df)
    sheet3["A1"].value = final_df.sort_values('ID-Give')
    t1 = time.time() - t0
    print(t1)





    path = [
    "/Users/Sergey/PycharmProjects/BestChange arbitrage/info.zip", "/Users/Sergey/PycharmProjects/BestChange arbitrage/bm_bcodes.dat",
    "/Users/Sergey/PycharmProjects/BestChange arbitrage/bm_brates.dat", "/Users/Sergey/PycharmProjects/BestChange arbitrage/bm_cities.dat",
    "/Users/Sergey/PycharmProjects/BestChange arbitrage/bm_cy.dat", "/Users/Sergey/PycharmProjects/BestChange arbitrage/bm_cycodes.dat",
    "/Users/Sergey/PycharmProjects/BestChange arbitrage/bm_exch.dat", "/Users/Sergey/PycharmProjects/BestChange arbitrage/bm_info.dat",
    "/Users/Sergey/PycharmProjects/BestChange arbitrage/bm_news.dat", "/Users/Sergey/PycharmProjects/BestChange arbitrage/bm_rates.dat",
    "/Users/Sergey/PycharmProjects/BestChange arbitrage/bm_top.dat"
]

    for i in path:

        os.remove(i)

    print("Done")

def main():
    bestchange_info()

if __name__ == '__main__':
    main()