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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
287
Twitter
数据不仅是非正式的信息收集工具,类似于
One Million Tweet Map
http://
onemilliontweetmap.com/
),同时也是更正式的学术研究工具,例如用于预测流感趋势
http://ieeexplore.ieee.org/document/5928903/?reload=true&tp=&arnumber=5928903&url=http:
%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5928903
),以及捕获实
时事件的发生,例如地震。
13.1
 
API
特性
API
可以像数据响应请求一样简单,但是很难找到只有这个功能的
API
了。大多数的
API
还有其他有用的特性。这些特性包括多种不同的
API
请求方法(
REST
或流式请求)、数
据时间戳、频率限制、数据分级,以及
API
访问对象(
key
token
)。让我们通过
Twitter
API
的上下文看一下这些特性。
13.1.1
 
REST API
与流式
API
Twitter API
有两种形式:
REST API
和流式
API
。大多数的
API
REST
形式的,但是一
些实时服务通常会提供流式
API
REST
的全称为
Representational State Transfer
表述性
状态转移
),被设计用来构建稳定的
API
架构。可以使用
requests
库(见第
11
章)来获
REST API
的数据。通过
requests
库,你可以发出 ...
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Publisher Resources

ISBN: 9787115459190