Python数据分析工具在铸钢板(CSP)厂信息化开发中的应用
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摘要
信息技术的飞速发展导致大量的数据生成,为了从这些海量的数据中提取有用的关键信息,各个企业投人了大量的人力物力去进行数据的整理筛选和报表开发,往往分析的结果却差强人意,现如今电子商务、CRM、MES等信息技术越来越发达,我们身处数字信息大爆炸的时代,只有通过采用先进的数据信息处理产品,才能改变钢铁行业信息化技术发展落后、保守的现状,促使钢铁企业在发展的道路上越来越顺畅。本篇论文介绍了Python数据分析工具在CSP信息化开发中的应用实践经验。
The rapid development of information technology has led to a large number of data generation. In order to extract useful key information from these massive data, various enterprises have invested a lot of manpower and material resources in data sorting, screening and report development. The results of analysis are often unsatisfactory. Nowadays,e-commerce, CRM, MES and other information technologies are more and more developed, and we are in a big explosion of digital information. In the era, only through the use of advanced data information processing products, can we change the backward and conservative status of information technology development in iron and steel industry, and promote iron and steel enterprises on the road of development more and more smoothly.This paper introduces the application experience of Python data analysis tool in CSP information development.
The rapid development of information technology has led to a large number of data generation. In order to extract useful key information from these massive data, various enterprises have invested a lot of manpower and material resources in data sorting, screening and report development. The results of analysis are often unsatisfactory. Nowadays,e-commerce, CRM, MES and other information technologies are more and more developed, and we are in a big explosion of digital information. In the era, only through the use of advanced data information processing products, can we change the backward and conservative status of information technology development in iron and steel industry, and promote iron and steel enterprises on the road of development more and more smoothly.This paper introduces the application experience of Python data analysis tool in CSP information development.
引文
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[2] Mark Lutz,李军,刘红伟.等译.Python学习手册[M].中国:机械工业出版社.2016.52-80.
[3]张良均,王路,谭立云,苏剑林等.Python数据分析与挖掘实战[M].中国:机械工业出版社.2015.122-180.
[4]范金城,梅长林.数据分析[M].北京;科学出版社.2002.35-78.