随着时代的发展,大数据时代的到临。经济、金融学的研究者们越来越需要掌握专业的技术工具来进行数据和量化分析。20年前,或许我们会使用一些统计软件便已经可以支持我们进行相关的研究工作,但现在仅仅简单的软件操作已经远远无法满足大数据时代的研究工作。另一方面,掌握更为高级的编程语言,不仅提高了学者们的效率,还极大拓宽了学者们的数据源和研究领域。例如,对于产组问题,之前学者们需要与各个企业接触,谈判,花费很大代价才能拿到相关数据进行研究;但通过网络爬虫和数据追踪挖掘,学者们可以轻易获得大量数据,极大方便了学者们的研究项目。但问题是,多数经济学研究者鲜计算机科学背景,或者接受过系统的编程学习。市场上,利用程序语言进行统计分析常有,但系统的针对经济学研究的编程学习书籍非常少见,这本书是作者回顾自己利用编程语言(python)做经济、金融学相关量化分析、数据处理的经验上所总结一本面向初学者的基础教程。希望由此方便广大经济学研究者进行更好的经济学研究。
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