progressapply ์ธ๋ค์ผํ ๋ฆฌ์คํธํ 1/11 ์ 1. tqdm in list comprehension / in pandas import pandas as pd import numpy as np from tqdm import tqdm # from tqdm.notebook import tqdm # Ver. 1 For Jupyter Notebook # from tqdm.auto import tqdm # Ver. 2 For Jupyter Notebook def process(token): return token['text'] l1 = [{'text': k} for k in range(5000)] l2 = [process(token) for token in tqdm(l1)] # tqdm in list comprehension #------------------.. ๋๋ณด๊ธฐ ์ด์ 1 ๋ค์