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FindHousingWithDataScienc

重构了Stephen Hsu的Speeding up the Housing Search in San Francisco with Data Science

碰到了不少问题,查资料安装了python3,selenium,BeautifulSoup,Jupyter,pip3,对照作者的思路和源码从头学习语法调试框架,对照错误提示,修正原文的语法错误。这里感谢Google翻译,原文翻译的很精确,对照原文错误很少。也感谢崔庆才老师,他的《Python3网络爬虫开发实战》让我对基础有系统的理解。

其中python3中不能解析加密链接的问题,在上下文排查了很久,才发现是urllib库中的导入ssl库来处理,感谢StackOverFlow,找到了正确的解决方法。

还有一部分问题未解决:

  • pandas和numpy库的用法
  • 怎么使用Jupyter库将最终结果显示在浏览器中,现在结果还只能在终端显示。
    想复杂了,只要在终端输入 jupyter notebook打开notebook,在file中新建一个python3程序,将craig_list.py的源码输入运行就可以生成原作者所见的表。

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