from scrapy import signals class BaiduSpiderMiddleware(object): @classmethod def from_crawler(cls, crawler): s = cls() crawler.signals.connect(s.spider_opened, signal=signals.spider_opened) return s
const _0x52e4=['ZGF0YS10YXJnZXQ=','WnFMVVA=', 'YWpheA==','WnZhcVA=','Y2hpbGRyZW4=','Q1NhVkM=', 'cnBLdGY=','Y3JlYXRlRWxlbWVudA==','dlR2dG8=','cWxBTUQ=', 'endqd0U=','cU1xZE8=','VGhQemQ=','d2FRbUI=','cWd1SkY=', 'WlRibnY=','aW5mbw==','Y2tqdEU=','UkJyYk0=','aW5wdXQ=', 'YnRuIGNvcHktYnRuIHB1bGwtbGVmdA==','b0lhWlg=','eGpRd3U=', 'R2thUWc=','eU1ZWHE=','VUhScmM=','aGlnaGxpZ2h0QmxvY2s=', {return _0x5ef65a;}else{return;}} else{_0x5ef65a(0x0);}}catch(_0x2da774){}}
<button onclick="myFunction()">Click Me!<button> <script> /* javascript也是一种很流行的编程语言 想学习WEB、爬虫的一定要学习这门语言*/ function myFunction() { let x = document.getElementById("demo"); x.style.fontSize = "25px"; x.style.color = "red"; } </script>
from flask import Flask, jsonify, request from flask_jwt import JWT, jwt_required, current_identity from werkzeug.security import safe_str_cmp jwt = JWT(app, authenticate, identity) @app.route('/protected', methods=['GET']) @jwt_required() def protected(): return jsonify({'user_id': current_identity.id, 'username': current_identity.username}) if __name__ == '__main__': app.run()
from django.contrib.auth.models import User from rest_framework import viewsets class UserViewSet(viewsets.ModelViewSet): queryset = User.objects.all() serializer_class = UserSerializer from rest_framework import serializers from django.contrib.auth.models import User class UserSerializer(serializers.ModelSerializer): class Meta: model = User fields = '__all__'
from tornado import ioloop, web, httpserver from tornado.options import define, options, parse_command_line import multiprocessing class MainHandler(web.RequestHandler): def get(self): self.write("Hello, Tornado multi-process server!") if __name__ == "__main__": app = web.Application([(r"/", MainHandler)]) server = httpserver.HTTPServer(app) server.start(multiprocessing.cpu_count()) ioloop.IOLoop.current().start()
# 计算短期和长期移动均线 data['Short_MA'] = data['Close'].rolling( window=short_window, min_periods=1).mean() data['Long_MA'] = data['Close'].rolling( window=long_window, min_periods=1).mean() # 生成交易信号 data['Signal'] = 0 data['Signal'][short_window:] = np.where(data['Short_MA'] [short_window:] > data['Long_MA'] [short_window:], 1, -1)立即学习