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complex data structure中文什么意思

發(fā)音:   用"complex data structure"造句
  • 復(fù)式數(shù)據(jù)結(jié)構(gòu)
  • 復(fù)數(shù)數(shù)據(jù)結(jié)構(gòu)
  • complex:    adj. 1.復(fù)雜的,錯(cuò)綜的。 2.合成的,綜合的;【化 ...
  • data:    n. 1.資料,材料〔此詞系 datum 的復(fù)數(shù)。但 d ...
  • structure:    n. 1.構(gòu)造,結(jié)構(gòu);組織;石理,石紋。 2.建造物。 ...
  • complex structure:    復(fù)合結(jié)構(gòu); 復(fù)雜叢結(jié)構(gòu)
  • complex data:    復(fù)數(shù)據(jù),復(fù)數(shù)數(shù)據(jù),復(fù)數(shù)值數(shù)據(jù); 復(fù)型數(shù)據(jù); 復(fù)雜數(shù)據(jù)
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  1. Python , fortunately and more so than most other languages , has both straightforward ways of dealing with complex data structures usually with classes and attributes , and a range of xml - related modules to aid in parsing , processing , and generating xml
    幸好, python (與大多數(shù)其它語(yǔ)言相比)不僅有直接處理復(fù)雜數(shù)據(jù)結(jié)構(gòu)的方法(通常使用類和屬性) ,還有許多xml相關(guān)的模塊可以幫助語(yǔ)法分析、處理和生成xml 。
  2. Python , fortunately and more so than most other languages , has both straightforward ways of dealing with complex data structures usually with classes and attributes and a range of xml - related modules to aid in parsing , processing , and generating xml
    幸好, python (與大多數(shù)其它語(yǔ)言相比)不僅有處理復(fù)雜數(shù)據(jù)結(jié)構(gòu)的直接方法(通常使用類和屬性) ,還有一系列xml相關(guān)的模塊可以幫助語(yǔ)法分析、處理和生成xml 。
  3. In this thesis , data was managed by conunon database management system and a database was designed based on a relation database : sqlserver , which design by microsoft corporation . it is a very popular and best way to manage cad system ' s data in curreflt time . ms method can also solve such questions as data redundancy , complex data structure and data share in naval architecture
    本文采用基于通用數(shù)據(jù)庫(kù)系統(tǒng)的數(shù)據(jù)管理方法,進(jìn)行了基于關(guān)系型數(shù)據(jù)庫(kù)sqlserver的數(shù)據(jù)庫(kù)設(shè)計(jì),一方面是因?yàn)椴捎脭?shù)據(jù)庫(kù)系統(tǒng)對(duì)數(shù)據(jù)進(jìn)行管理是當(dāng)今開發(fā)數(shù)據(jù)管理的主流方式,另一方面是因?yàn)榇霸O(shè)計(jì)中涉及的數(shù)據(jù)量非常大,數(shù)據(jù)間的關(guān)系結(jié)構(gòu)復(fù)雜,對(duì)數(shù)據(jù)的共享性要求較高,而數(shù)據(jù)庫(kù)是解決該問(wèn)題的最好辦法。
  4. The history of the development of database technology can be divided into three phases : the first generation is the reticulation / hierarchical data model based on database ; the second generation is the relational data model based database ; the third generation database which has the object oriented character breakthroughs the localization of the traditional database model which is unable to build model based on complex data structure . the third generation has led the database system to a new time
    數(shù)據(jù)庫(kù)技術(shù)的發(fā)展經(jīng)歷了三個(gè)階段:第一代數(shù)據(jù)庫(kù)系統(tǒng)是基于網(wǎng)狀、層狀數(shù)據(jù)模型的網(wǎng)狀、層狀數(shù)據(jù)庫(kù)管理系統(tǒng);第二代數(shù)據(jù)庫(kù)是基于平面關(guān)系模型的關(guān)系數(shù)據(jù)庫(kù)系統(tǒng);以面向?qū)ο竽P蜑榇淼牡谌鷶?shù)據(jù)庫(kù)系統(tǒng)突破了傳統(tǒng)數(shù)據(jù)模型在復(fù)雜數(shù)據(jù)建模和管理方面存在的局限性,使數(shù)據(jù)庫(kù)系統(tǒng)進(jìn)入了新的時(shí)代。

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