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Python数据处理
book

Python数据处理

by Jacqueline Kazil, Katharine Jarmul
July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Posts & Telecom Press
Content preview from Python数据处理
应用编程接口
297
def
on_data(self, data):
print
data
return
True
auth = OAuthHandler(API_KEY, API_SECRET)
auth.set_access_token(TOKEN_KEY, TOKEN_SECRET)
stream = Stream(auth, Listener())
stream.filter(track=['child labor'])
下面,你需要添加代码,通过
on_data
方法,像本章之前那样将推文保存到数据库、文件
或其他的存储工具。
13.5
 小结
能够同应用编程接口进行交互是数据处理中很重要的一部分。在这一章中,我们学习了一
API
基础知识(见表
13-2
中的总结),并且处理了来自
Twitter API
的数据。
13-2API概念
概念 功能
REST API
(与流式
API
相比) 返回数据,并且暴露静态的节点
流式
API
(与
REST API
相比) 返回查询相关的实时数据
OAuth
OAuth2
给定一系列
key
值和
token
的认证
分级数据卷 数据频率限制
/
可用性的不同级别;一些需要付费
key
token
标识用户和应用的唯一
ID
和密钥
我们已经复用了许多已经知道的
Python
概念,并且在这一章中学习了一些新的
Python
念。首先是
tweepy
的使用,一个处理同
Twitter API
交互的库。你还学习了有关认证和
OAuth
协议的知识。
作为同
API
交互的拓展,第
14
章会介绍你不在场时运行 ...
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Publisher Resources

ISBN: 9787115459190