Qualitative Data Analysis provides a practical and accessible introduction of how to develop and apply strategies for the analysis of qualitative data by exploring the ways in which analysis is relat
本書主要基于Java SE 6平臺,分別介紹了Java的語言基礎、面向對象結構、基本輸入輸出、增強性能類、收集與數據結構應用、圖形用戶界面及桌面應用、小程序及多媒體應用、JDBC與數據庫應用、JavaBeans及組件應用、網絡與Web服務應用等方面的內容,而且與各種應用結合,使讀者了解新技術后可以很快用到實際開發中。作者結合多年的教學經驗,深入淺出地描述Java的編程原理,并配以大量程序實例。
本書以面向對象程序設計思想為核心,詳細講述了面向對象程序設計的主要技術與編程思路。 本書以Java SE 6為基礎,全面介紹Java語言的功能和技術特點,主要內容包括Java語言基礎知識、面向對象編程技術、UML、異常、斷言與日志、輸入輸出、泛型、集合框架、多線程、圖形用戶界面、網絡編程等內容。 本書條理清晰,內容豐富,各章配有大量經過調試運行的實例。為了提高讀者全面掌握Java面向對象編程技
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Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining by Glenn J. Myatt (978-0-470-07471-8) and Making Sense of Data II: A Practical Guide to Data Visualization, Advance
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Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time
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A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques This second installment in the Making Sense of Data series continues to explore a diverse ran
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