## page was renamed from zhPyCookbookTemplate
##language:zh

::-- JinQing [<<DateTime(2008-04-16T02:13:30Z)>>]
<<BR>><<BR>>

21.2. Strategies for Parsing Text in Python
<<BR>><<BR>>

21.2. 用Python解析文本的策略
<<BR>><<BR>>

In the grand scheme of things, there are a variety of ways to handle text processing in Python:
<<BR>><<BR>>

从整体看，Python处理文本有多种方式：
<<BR>><<BR>>

    *

      Built-in string object expressions
    *

      内置的字符串对象表达式
    *

      String object method calls
    *

      字符串对象方法调用
    *

      Regular expression matching
    *

      正则表达式匹配
    *

      Parser-generator integrations
    *

      解析器生成器集成
    *

      Handcoded and generated parsers
    *

      手工编码的和自动生成的解析器
    *

      Running Python code with eval and exec built-ins
    *

      用内置的eval和exec运行Python代码

<<BR>><<BR>>
For simpler tasks, Python's built-in string object is often all we really need. Python strings can be indexed, concatenated, sliced, and processed with both string method calls and built-in functions. Our emphasis in this chapter, though, is on higher-level tools and techniques for analyzing textual information. Let's briefly explore each of the other approaches with representative examples.
<<BR>><<BR>>

对于较简单的任务，我们往往只需Python内置的字符串对象。 Python的字符串可以进行索引、拼接、切片，并且可用字符串方法和内置函数进行处理。然而，本章的重点是，分析文本信息的高级工具和技术。让我们以代表性的例子，简要地探索各种方法。
<<BR>><<BR>>


= 评译 =