{"id":988252,"date":"2024-12-27T08:00:34","date_gmt":"2024-12-27T00:00:34","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/988252.html"},"modified":"2024-12-27T08:00:37","modified_gmt":"2024-12-27T00:00:37","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e6%90%9c%e9%9b%86%e7%83%ad%e7%82%b9","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/988252.html","title":{"rendered":"\u5982\u4f55\u7528python\u641c\u96c6\u70ed\u70b9"},"content":{"rendered":"

\"\u5982\u4f55\u7528python\u641c\u96c6\u70ed\u70b9\"<\/p>\n

\u4f7f\u7528Python\u641c\u96c6\u70ed\u70b9\u7684\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528API\u83b7\u53d6\u6570\u636e\u3001\u7f51\u9875\u722c\u866b\u6280\u672f\u3001\u5229\u7528\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0\u3001\u4f7f\u7528\u6570\u636e\u5206\u6790\u5de5\u5177\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528API\u83b7\u53d6\u6570\u636e\u662f\u6700\u76f4\u63a5\u548c\u9ad8\u6548\u7684\u65b9\u6cd5\u3002\u8bb8\u591a\u7f51\u7ad9\u548c\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0\u63d0\u4f9b\u4e86API\u63a5\u53e3\uff0c\u4f9b\u5f00\u53d1\u8005\u83b7\u53d6\u6700\u65b0\u7684\u70ed\u70b9\u4fe1\u606f\u3002\u901a\u8fc7API\u63a5\u53e3\uff0c\u7528\u6237\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u83b7\u53d6\u6307\u5b9a\u7c7b\u578b\u7684\u6570\u636e\uff0c\u5e76\u8fdb\u884c\u5206\u6790\u3002Python\u6709\u8bb8\u591a\u5f3a\u5927\u7684\u5e93\uff0c\u5982Requests\u548cBeautifulSoup\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u8bbf\u95ee\u548c\u5904\u7406\u8fd9\u4e9b\u6570\u636e\u3002<\/p>\n<\/p>\n

\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u5982\u4f55\u7528Python\u641c\u96c6\u70ed\u70b9\u4fe1\u606f\u7684\u65b9\u6cd5\u548c\u6280\u5de7\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528API\u83b7\u53d6\u6570\u636e<\/h3>\n<\/p>\n

\u4f7f\u7528API\u83b7\u53d6\u6570\u636e\u662f\u641c\u96c6\u70ed\u70b9\u4fe1\u606f\u7684\u4e00\u79cd\u5e38\u7528\u65b9\u6cd5\u3002\u8bb8\u591a\u77e5\u540d\u7f51\u7ad9\u548c\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0\uff0c\u5982Twitter\u3001Reddit\u3001Google Trends\u7b49\uff0c\u90fd\u63d0\u4f9b\u4e86API\u63a5\u53e3\uff0c\u4f9b\u5f00\u53d1\u8005\u83b7\u53d6\u5b9e\u65f6\u7684\u70ed\u70b9\u6570\u636e\u3002<\/p>\n<\/p>\n

1. \u4f7f\u7528Twitter API<\/h4>\n<\/p>\n

Twitter\u662f\u4e00\u4e2a\u5b9e\u65f6\u6027\u5f88\u5f3a\u7684\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0\uff0c\u8bb8\u591a\u70ed\u70b9\u4e8b\u4ef6\u90fd\u4f1a\u5728\u8fd9\u91cc\u9996\u5148\u88ab\u8ba8\u8bba\u3002\u4e3a\u4e86\u4f7f\u7528Twitter API\uff0c\u9996\u5148\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u5f00\u53d1\u8005\u8d26\u6237\u5e76\u7533\u8bf7API\u5bc6\u94a5\u3002\u7136\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684tweepy<\/code>\u5e93\u4e0eTwitter API\u8fdb\u884c\u4ea4\u4e92\uff0c\u83b7\u53d6\u5b9e\u65f6\u63a8\u6587\u3002<\/p>\n<\/p>\n

import tweepy<\/p>\n
\u8bbe\u7f6eAPI\u5bc6\u94a5<\/strong><\/h2>\n
api_key = "YOUR_API_KEY"<\/p>\n
api_key_secret = "YOUR_API_KEY_SECRET"<\/p>\n
access_token = "YOUR_ACCESS_TOKEN"<\/p>\n
access_token_secret = "YOUR_ACCESS_TOKEN_SECRET"<\/p>\n
\u8ba4\u8bc1\u5e76\u83b7\u53d6API\u5bf9\u8c61<\/strong><\/h2>\n
auth = tweepy.OAuth1UserHandler(api_key, api_key_secret, access_token, access_token_secret)<\/p>\n
api = tweepy.API(auth)<\/p>\n
\u641c\u7d22\u70ed\u70b9\u63a8\u6587<\/strong><\/h2>\n
hot_trends = api.get_place_trends(id=1)  # \u83b7\u53d6\u5168\u7403\u8d8b\u52bf<\/p>\n
for trend in hot_trends[0]['trends']:<\/p>\n
    print(trend['name'])<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4f7f\u7528Reddit API<\/h4>\n<\/p>\n
Reddit\u662f\u53e6\u4e00\u4e2a\u83b7\u53d6\u70ed\u70b9\u4fe1\u606f\u7684\u826f\u597d\u5e73\u53f0\u3002\u901a\u8fc7Reddit\u7684API\uff0c\u53ef\u4ee5\u83b7\u53d6\u5404\u4e2a\u5b50\u7248\u5757\u7684\u70ed\u95e8\u5e16\u5b50\u3002<\/p>\n<\/p>\n
import praw<\/p>\n
\u521b\u5efaReddit API\u5bf9\u8c61<\/strong><\/h2>\n
reddit = praw.Reddit(client_id='YOUR_CLIENT_ID',<\/p>\n
                     client_secret='YOUR_CLIENT_SECRET',<\/p>\n
                     user_agent='YOUR_USER_AGENT')<\/p>\n
\u83b7\u53d6\u67d0\u4e2a\u5b50\u7248\u5757\u7684\u70ed\u95e8\u5e16\u5b50<\/strong><\/h2>\n
subreddit = reddit.subreddit('news')<\/p>\n
for submission in subreddit.hot(limit=10):<\/p>\n
    print(submission.title)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u4f7f\u7528Google Trends API<\/h4>\n<\/p>\n
Google Trends\u63d0\u4f9b\u4e86\u5173\u4e8e\u641c\u7d22\u8d8b\u52bf\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u53ef\u4ee5\u7528\u6765\u5206\u6790\u5168\u7f51\u70ed\u70b9\u3002\u901a\u8fc7pytrends<\/code>\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u83b7\u53d6Google Trends\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
from pytrends.request import TrendReq<\/p>\n
\u521b\u5efaGoogle Trends\u5bf9\u8c61<\/strong><\/h2>\n
pytrends = TrendReq(hl='en-US', tz=360)<\/p>\n
\u83b7\u53d6\u5b9e\u65f6\u8d8b\u52bf<\/strong><\/h2>\n
trending_searches_df = pytrends.trending_searches()<\/p>\n
print(trending_searches_df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u7f51\u9875\u722c\u866b\u6280\u672f<\/h3>\n<\/p>\n
\u9664\u4e86\u4f7f\u7528API\uff0c\u7f51\u9875\u722c\u866b\u4e5f\u662f\u83b7\u53d6\u70ed\u70b9\u4fe1\u606f\u7684\u91cd\u8981\u624b\u6bb5\u3002\u901a\u8fc7\u722c\u866b\u6280\u672f\uff0c\u53ef\u4ee5\u4ece\u7f51\u7ad9\u4e0a\u6293\u53d6\u52a8\u6001\u66f4\u65b0\u7684\u6570\u636e\uff0c\u5206\u6790\u51fa\u5f53\u524d\u7684\u70ed\u70b9\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528BeautifulSoup\u8fdb\u884c\u7f51\u9875\u89e3\u6790<\/h4>\n<\/p>\n
BeautifulSoup\u662fPython\u4e2d\u5e38\u7528\u7684\u7f51\u9875\u89e3\u6790\u5e93\uff0c\u9002\u5408\u5904\u7406\u9759\u6001\u7f51\u9875\u3002<\/p>\n<\/p>\n
import requests<\/p>\n
from bs4 import BeautifulSoup<\/p>\n
\u53d1\u9001\u8bf7\u6c42\u5e76\u83b7\u53d6\u7f51\u9875\u5185\u5bb9<\/strong><\/h2>\n
url = "https:\/\/news.ycombinator.com\/"<\/p>\n
response = requests.get(url)<\/p>\n
soup = BeautifulSoup(response.text, 'html.parser')<\/p>\n
\u89e3\u6790\u7f51\u9875\u5185\u5bb9\u5e76\u63d0\u53d6\u70ed\u70b9\u6807\u9898<\/strong><\/h2>\n
titles = soup.find_all('a', class_='storylink')<\/p>\n
for title in titles:<\/p>\n
    print(title.text)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4f7f\u7528Selenium\u8fdb\u884c\u52a8\u6001\u7f51\u9875\u6293\u53d6<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u9700\u8981\u52a8\u6001\u52a0\u8f7d\u7684\u7f51\u9875\uff0cSelenium\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002\u5b83\u901a\u8fc7\u6a21\u62df\u6d4f\u89c8\u5668\u884c\u4e3a\uff0c\u53ef\u4ee5\u83b7\u53d6JavaScript\u6e32\u67d3\u540e\u7684\u5185\u5bb9\u3002<\/p>\n<\/p>\n
from selenium import webdriver<\/p>\n
from selenium.webdriver.common.by import By<\/p>\n
\u914d\u7f6e\u6d4f\u89c8\u5668\u9a71\u52a8<\/strong><\/h2>\n
driver = webdriver.Chrome()<\/p>\n
\u6253\u5f00\u7f51\u9875<\/strong><\/h2>\n
driver.get("https:\/\/www.example.com")<\/p>\n
\u7b49\u5f85\u9875\u9762\u52a0\u8f7d\u5e76\u63d0\u53d6\u5143\u7d20<\/strong><\/h2>\n
elements = driver.find_elements(By.CLASS_NAME, 'headline')<\/p>\n
for element in elements:<\/p>\n
    print(element.text)<\/p>\n
\u5173\u95ed\u6d4f\u89c8\u5668<\/strong><\/h2>\n
driver.quit()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5229\u7528\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0<\/h3>\n<\/p>\n
\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0\u662f\u70ed\u70b9\u4fe1\u606f\u7684\u91cd\u8981\u6765\u6e90\uff0c\u901a\u8fc7\u5206\u6790\u8fd9\u4e9b\u5e73\u53f0\u4e0a\u7684\u70ed\u95e8\u8bdd\u9898\u548c\u8ba8\u8bba\uff0c\u53ef\u4ee5\u5feb\u901f\u628a\u63e1\u70ed\u70b9\u8d8b\u52bf\u3002<\/p>\n<\/p>\n
1. \u793e\u4ea4\u5a92\u4f53\u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n
\u5206\u6790\u793e\u4ea4\u5a92\u4f53\u4e0a\u7684\u6570\u636e\uff0c\u9700\u8981\u5bf9\u7528\u6237\u751f\u6210\u7684\u5185\u5bb9\u8fdb\u884c\u91c7\u96c6\u548c\u5904\u7406\u3002\u4f7f\u7528\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u6280\u672f\uff0c\u53ef\u4ee5\u5bf9\u5927\u91cf\u6587\u672c\u8fdb\u884c\u5206\u6790\uff0c\u63d0\u53d6\u51fa\u6f5c\u5728\u7684\u70ed\u70b9\u4fe1\u606f\u3002<\/p>\n<\/p>\n
from textblob import TextBlob<\/p>\n
\u793a\u4f8b\u63a8\u6587\u5217\u8868<\/strong><\/h2>\n
tweets = ["I love Python!", "Python is amazing for data science.", "I'm learning how to use Python for web scraping."]<\/p>\n
\u5206\u6790\u6bcf\u6761\u63a8\u6587\u7684\u60c5\u611f<\/strong><\/h2>\n
for tweet in tweets:<\/p>\n
    analysis = TextBlob(tweet)<\/p>\n
    print(f"Tweet: {tweet}, Sentiment: {analysis.sentiment}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u793e\u4ea4\u7f51\u7edc\u5206\u6790<\/h4>\n<\/p>\n
\u793e\u4ea4\u7f51\u7edc\u5206\u6790\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u4fe1\u606f\u5728\u7f51\u7edc\u4e2d\u7684\u4f20\u64ad\u65b9\u5f0f\uff0c\u4ee5\u53ca\u8bc6\u522b\u51fa\u5173\u952e\u7684\u5f71\u54cd\u8005\u548c\u70ed\u70b9\u8bdd\u9898\u3002<\/p>\n<\/p>\n
import networkx as nx<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u793e\u4ea4\u7f51\u7edc<\/strong><\/h2>\n
G = nx.Graph()<\/p>\n
G.add_edges_from([("UserA", "UserB"), ("UserB", "UserC"), ("UserC", "UserD")])<\/p>\n
\u8ba1\u7b97\u6bcf\u4e2a\u8282\u70b9\u7684\u4e2d\u5fc3\u6027<\/strong><\/h2>\n
centrality = nx.degree_centrality(G)<\/p>\n
print(centrality)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528\u6570\u636e\u5206\u6790\u5de5\u5177<\/h3>\n<\/p>\n
\u6570\u636e\u5206\u6790\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5bf9\u641c\u96c6\u5230\u7684\u70ed\u70b9\u6570\u636e\u8fdb\u884c\u6df1\u5165\u5206\u6790\uff0c\u63ed\u793a\u51fa\u66f4\u6df1\u5c42\u6b21\u7684\u8d8b\u52bf\u548c\u6a21\u5f0f\u3002<\/p>\n<\/p>\n
1. \u6570\u636e\u53ef\u89c6\u5316<\/h4>\n<\/p>\n
\u901a\u8fc7\u6570\u636e\u53ef\u89c6\u5316\uff0c\u53ef\u4ee5\u66f4\u76f4\u89c2\u5730\u7406\u89e3\u6570\u636e\u4e2d\u7684\u70ed\u70b9\u8d8b\u52bf\u3002Python\u4e2d\u6709\u8bb8\u591a\u4f18\u79c0\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u5982Matplotlib\u548cSeaborn\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
data = {'Topic A': 100, 'Topic B': 200, 'Topic C': 300}<\/p>\n
\u7ed8\u5236\u67f1\u72b6\u56fe<\/strong><\/h2>\n
plt.bar(data.keys(), data.values())<\/p>\n
plt.title('Hot Topics')<\/p>\n
plt.xlabel('Topics')<\/p>\n
plt.ylabel('Mentions')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u65f6\u95f4\u5e8f\u5217\u5206\u6790<\/h4>\n<\/p>\n
\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u70ed\u70b9\u4fe1\u606f\u5728\u65f6\u95f4\u4e0a\u7684\u53d8\u5316\u8d8b\u52bf\u3002Python\u4e2d\u7684pandas<\/code>\u5e93\u975e\u5e38\u9002\u5408\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u793a\u4f8b\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/strong><\/h2>\n
dates = pd.date_range(start='2023-01-01', periods=100)<\/p>\n
values = pd.Series(range(100), index=dates)<\/p>\n
\u7ed8\u5236\u65f6\u95f4\u5e8f\u5217\u56fe<\/strong><\/h2>\n
values.plot(title='Trend Over Time')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u70ed\u70b9\u4fe1\u606f\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u641c\u96c6\u548c\u5206\u6790\u70ed\u70b9\u4fe1\u606f\uff0c\u53ef\u4ee5\u4e3a\u8bb8\u591a\u9886\u57df\u63d0\u4f9b\u652f\u6301\uff0c\u5982\u5e02\u573a\u8425\u9500\u3001\u8206\u60c5\u76d1\u63a7\u3001\u65b0\u95fb\u62a5\u9053\u7b49\u3002<\/p>\n<\/p>\n
1. \u5e02\u573a\u8425\u9500<\/h4>\n<\/p>\n
\u5728\u5e02\u573a\u8425\u9500\u4e2d\uff0c\u4e86\u89e3\u5f53\u524d\u7684\u70ed\u70b9\u53ef\u4ee5\u5e2e\u52a9\u4f01\u4e1a\u5236\u5b9a\u66f4\u6709\u6548\u7684\u8425\u9500\u7b56\u7565\uff0c\u6293\u4f4f\u6d88\u8d39\u8005\u7684\u5173\u6ce8\u70b9\u3002<\/p>\n<\/p>\n
2. \u8206\u60c5\u76d1\u63a7<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u653f\u5e9c\u548c\u4f01\u4e1a\u6765\u8bf4\uff0c\u53ca\u65f6\u4e86\u89e3\u516c\u4f17\u7684\u8ba8\u8bba\u70ed\u70b9\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4ed6\u4eec\u66f4\u597d\u5730\u8fdb\u884c\u8206\u60c5\u7ba1\u7406\uff0c\u53ca\u65f6\u5e94\u5bf9\u6f5c\u5728\u7684\u5371\u673a\u3002<\/p>\n<\/p>\n
3. \u65b0\u95fb\u62a5\u9053<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u65b0\u95fb\u5a92\u4f53\u6765\u8bf4\uff0c\u70ed\u70b9\u4fe1\u606f\u662f\u65b0\u95fb\u62a5\u9053\u7684\u91cd\u8981\u6765\u6e90\u3002\u901a\u8fc7\u5206\u6790\u70ed\u70b9\u6570\u636e\uff0c\u8bb0\u8005\u53ef\u4ee5\u66f4\u5feb\u5730\u53d1\u73b0\u65b0\u95fb\u7ebf\u7d22\uff0c\u63d0\u9ad8\u65b0\u95fb\u62a5\u9053\u7684\u65f6\u6548\u6027\u3002<\/p>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u5229\u7528Python\u53ef\u4ee5\u9ad8\u6548\u5730\u641c\u96c6\u548c\u5206\u6790\u70ed\u70b9\u4fe1\u606f\uff0c\u4e3a\u5404\u884c\u5404\u4e1a\u63d0\u4f9b\u6709\u4ef7\u503c\u7684\u6d1e\u5bdf\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u6536\u96c6\u793e\u4ea4\u5a92\u4f53\u4e0a\u7684\u70ed\u70b9\u8bdd\u9898\uff1f<\/strong>
Python\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u5e93\u548cAPI\u8bbf\u95ee\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0\uff0c\u5982Twitter\u548cReddit\uff0c\u4ece\u800c\u6536\u96c6\u70ed\u70b9\u8bdd\u9898\u3002\u4f7f\u7528Tweepy\u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u8bbf\u95eeTwitter API\uff0c\u83b7\u53d6\u5b9e\u65f6\u8d8b\u52bf\u548c\u76f8\u5173\u63a8\u6587\u3002\u800c\u5bf9\u4e8eReddit\uff0c\u53ef\u4ee5\u4f7f\u7528PRAW\u5e93\u6765\u6293\u53d6\u70ed\u95e8\u5e16\u5b50\u548c\u8bc4\u8bba\u3002\u786e\u4fdd\u60a8\u9075\u5faa\u5404\u5e73\u53f0\u7684\u4f7f\u7528\u6761\u6b3e\u548c\u9650\u5236\u3002<\/p>\n
\u6709\u54ea\u4e9bPython\u5e93\u53ef\u4ee5\u5e2e\u52a9\u6211\u641c\u96c6\u65b0\u95fb\u70ed\u70b9\uff1f<\/strong>
\u53ef\u4ee5\u4f7f\u7528BeautifulSoup\u548cRequests\u5e93\u6765\u6293\u53d6\u65b0\u95fb\u7f51\u7ad9\u7684\u70ed\u70b9\u6587\u7ae0\u3002BeautifulSoup\u7528\u4e8e\u89e3\u6790HTML\u548cXML\u6587\u6863\uff0c\u800cRequests\u7528\u4e8e\u53d1\u9001HTTP\u8bf7\u6c42\u3002\u6b64\u5916\uff0cNewspaper3k\u5e93\u4e5f\u975e\u5e38\u9002\u5408\u7528\u4e8e\u63d0\u53d6\u65b0\u95fb\u6587\u7ae0\u7684\u6807\u9898\u3001\u94fe\u63a5\u548c\u5185\u5bb9\uff0c\u5e2e\u52a9\u8bc6\u522b\u5f53\u524d\u7684\u70ed\u70b9\u65b0\u95fb\u3002<\/p>\n
\u5982\u4f55\u5224\u65ad\u6536\u96c6\u5230\u7684\u70ed\u70b9\u6570\u636e\u7684\u6709\u6548\u6027\u548c\u76f8\u5173\u6027\uff1f<\/strong>
\u8bc4\u4f30\u70ed\u70b9\u6570\u636e\u7684\u6709\u6548\u6027\u548c\u76f8\u5173\u6027\u901a\u5e38\u9700\u8981\u5206\u6790\u5176\u6765\u6e90\u548c\u4e92\u52a8\u60c5\u51b5\u3002\u53ef\u4ee5\u901a\u8fc7\u68c0\u67e5\u5e16\u5b50\u7684\u70b9\u8d5e\u3001\u8f6c\u53d1\u548c\u8bc4\u8bba\u6570\u6765\u5224\u65ad\u5176\u53d7\u6b22\u8fce\u7a0b\u5ea6\u3002\u6b64\u5916\uff0c\u5e94\u7528\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\uff08\u5982\u60c5\u611f\u5206\u6790\uff09\u53ef\u4ee5\u5e2e\u52a9\u8bc6\u522b\u516c\u4f17\u5bf9\u7279\u5b9a\u8bdd\u9898\u7684\u53cd\u5e94\uff0c\u4ece\u800c\u66f4\u5168\u9762\u5730\u4e86\u89e3\u70ed\u70b9\u7684\u5f71\u54cd\u529b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u641c\u96c6\u70ed\u70b9\u7684\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528API\u83b7\u53d6\u6570\u636e\u3001\u7f51\u9875\u722c\u866b\u6280\u672f\u3001\u5229\u7528\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0\u3001\u4f7f\u7528\u6570\u636e\u5206\u6790\u5de5\u5177\u3002 […]","protected":false},"author":3,"featured_media":988257,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/988252"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=988252"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/988252\/revisions"}],"predecessor-version":[{"id":988260,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/988252\/revisions\/988260"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/988257"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=988252"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=988252"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=988252"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}