Dynamic languages like Python and Ruby seem to be all the rage these days.
最近Python和Ruby这样的动态语言风靡于世界。
And as long as the language has lots of popular support like Python does, availability is not a problem.
而且，只要这种语言像Python一样拥有大量流行的支持，可用性就不成问题。
Solutions built on top of languages like Python, Ruby, Groovy and Scala is becoming more common, both to build integration solutions and full-fledged systems.
基于Python、Ruby、Groovy和Scala等语言构建的方案正变得越来越普遍，包括构建集成方案和成熟的系统。
For all of these reasons, relational databases offer what we might call a noticeable impedance mismatch when we try to use them to persist objects in a dynamic language like Python.
由于所有这些原因，在尝试使用关系数据库来持久化诸如python等动态语言中的对象时，关系数据库导致了显著的不匹配。
What most programmers think about when they think about variable or object type owes a lot to the vagaries of computer CPUs — even among programmers of high level languages like Python.
大部分程序员在考虑变量或对象类型时都会联想起计算机CPU的奇特行为——即使是那些使用诸如python这种高级语言的程序员也是如此。
What most programmers think about when they think about variable or object type owes a lot to the vagaries of computer CPUs — even among programmers of high level languages like Python.
大部分程序员在考虑变量或对象类型时都会联想起计算机CPU的奇特行为——即使是那些使用诸如python这种高级语言的程序员也是如此。
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