As an interpreted scripting language, it is very friendly to iterative development — there's no recompiling after a single change, and you can see the impact of your code changes in real time.
作为一种解释性的脚本语言，它非常适用于重复开发——不需要在做出个别更改后重新编译，并且能够实时看到更改代码后的效果。
The reason is that in most cases, the scripting language is interpreted "on the fly" and loses time and CPU cycles having to parse and validate text as it's executed.
其中的原因是，大多数情况下脚本语言是 “即时”解译的，因而它在执行时会损失一些解析和验证文本的时间和CPU周期。
Pythons elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.
Python优雅的语法，动态类型，以及它天然的解释能力，使其成为了大多数平台上应用于各领域理想的脚本语言以及开发环境。
Pythons elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.
Python优雅的语法，动态类型，以及它天然的解释能力，使其成为了大多数平台上应用于各领域理想的脚本语言以及开发环境。
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