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还在苦苦寻觅用python控制、处理、整理、分析结构化数据的完整课程？《利用python进行数据分析》含有大量的实践案例，你将学会如何利用各种python库（包括numpy、pandas、matplotlib以及ipython等）高效地解决各式各样的数据分析问题。
由于作者wes mckinney是pandas库的主要作者，所以本书也可以作为利用python实现数据密集型应用的科学计算实践指南。本书适合刚刚接触python的分析人员以及刚刚接触科学计算的python程序员。
·将ipython这个交互式shell作为你的首要开发环境。
·学习numpy（numerical python）的基础和高级知识。
·从pandas库的数据分析工具开始。
·利用高性能工具对数据进行加载、清理、转换、合并以及重塑。
·利用matplotlib创建散点图以及静态或交互式的可视化结果。
·利用pandas的groupby功能对数据集进行切片、切块和汇总操作。
·处理各种各样的时间序列数据。
·通过详细的案例学习如何解决web分析、社会科学、金融学以及经济学等领域的问题。
- Sales Rank: #380082 in eBooks
- Brand: 北京华章图文信息有限公司
- Published on: 2013-10-30
- Released on: 2014-05-16
- Format: Kindle eBook
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