August 2022
Intermediate to advanced
441 pages
11h 26m
Chinese
Content preview from Python文本分析
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利用
API
提取文本
｜
47
2.3
案例：使用
requests
模块通过
API
提取
数据
随着
HTTP
标准驱动的
Web
的普及，
URL
成为了
API
最主要的规范。下
面，我们将使用标准
Python
发行版中包含的
requests
库，作为访问
API
和通过
API
提取数据的主要方式。在这个案例的说明中，我们将使用
GitHub API
（
https://oreil.
ly/oUIG1
）。
GitHub
是一个流行的代码托管平台，很多开源项目都托管在上面，比
如
Python
、
scikit-learn
和
TensorFlow
，还有本书的代码。假设你需要分析各种编程
语言（例如
Python
、
Java
和
JavaScript
等）的流行程度，则可以提取
GitHub
上各
个流行的存储库所使用编程语言的数据，然后再分析每种语言的流行程度。再假设
你们公司的项目托管到了
GitHub
上，而且你们希望确保用户和贡献代码的人能够
遵守行为准则。这时，你可以提取各个贡献者提交的议题和评论，并确保他们没有
使用不恰当的语言。在这个案例中，我们将阅读和理解某个
API
的文档、发送请求、
解析输出并创建一个能够满足我们的需求的数据集。
SOAP
、
REST
与
GraphQL
长期以来，API 一直是软件接口和通信的标准，而且多年来 API 的实现技
术已经发生了变化。简单对象访问协议（Simple Object Access Protocol，简
称 SOAP）是最早的软件模块间通信的标准接口之一。SOAP 使用了一种标
准的消息传递格式：可扩展标记语言（Extensible ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.