当然，很少有Python程序员希望使用上面的诸如列表、元组和字典等日益复杂的数据结构。
Of course, few Python programmers want to work with increasingly complex forests of data structures like the lists, tuples, and dictionaries above.
为了便于以后提供这种功能，将EIDB中的共同提及数据转换为一个面向三元组的模式，实现的方法是在数据库上定义一个具有这种结构的视图。
To accommodate this future possibility, the co-mention data in the EIDB is cast into a triples-oriented schema by defining a view on the database that has this structure.
元组对于包含定义的元素和描述各种复杂数据结构非常有用。Erlang允许显式地设置和获取元组中的值(参见清单15)。
Tuples are very useful for containing defined elements and describing different complex data structures, and Erlang allows you to set and get values in a tuple explicitly (see Listing 15).
有更多的数据结构提供给Python(2.7)比标准的列表，集合，元组的标准库中？
Are there more data structures available to Python (2.7) than the standard list, set, tuple dict in the standard library?
为了适应本体数据源大量的分类数据，提出了一种新的聚类算法sct，实现数据库元组的自动聚类以及概念层次结构的生成。
A new clustering algorithm named SCT is raised, which makes system be more suitable to the category data in data source of ontology.
为了适应本体数据源大量的分类数据，提出了一种新的聚类算法sct，实现数据库元组的自动聚类以及概念层次结构的生成。
A new clustering algorithm named SCT is raised, which makes system be more suitable to the category data in data source of ontology.
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