July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Content preview from Python数据处理
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处理
PDF
文件，以及用
Python
解决问题
｜
75
图 5-1：PyPI 网站上的 PDF 包
浏览这些
Python
包，了解一下每个库的详细信息，但分辨不出哪一个库是解析
PDF
的最
佳选择。如果你尝试更多的搜索，比如“
parse pdf
”（解析
pdf
），会出现更多的库供你选
择，但还是没有明显的最佳选择（搜索结果见
https://pypi.python.org/pypi?:action=search&t
e
rm=parse+pdf&submit=search
）。所以我们用搜索引擎查看一下大家都在用什么库来解析
PDF
。
在搜索库或者答案时，注意观察你找到资料的发布日期。帖子或问题的年代
越久远，它过时且不再适用的可能性就越大。先试着将搜索范围限定在过去
的两年内，然后仅在需要时再扩大搜索的时间范围。
在阅读了许多教程、文档、博客文章和几篇有用的文章（例如这一篇：
http://www.binpress.
com/tutorial/manipulating-pdfs-with-python/167
）之后，我们决定使用
slate
库（
https://pypi.
python.org/pypi/slate
）。
slate
能够满足我们的需求，但并非总是如此。放弃并从头开始也是可以的。
如果有很多库可供选择的话，选择你认为最合适的那一个，即使有人告诉你
它不是“最好的”工具。究竟哪一个工具最好，大家见仁见智。在你学习编
程的过程中，“最好的”工具就是你凭直觉选择的那一个。
5.2.1
利用
slate
库打开并读取
PDF
我们决定用 ...
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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.