Big Data Means to Optimize the Allocation of Preschool Education Resources: Dynamic Simulation Algorithm based on Python

Sumei Li
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Abstract

The advancement of science and technology and the development of the Internet make preschool education continue to reform and advance. In particular, the development of big data has brought new opportunities to preschool education. Big data algorithms can optimize the allocation of preschool education resources. This paper is based on the dynamic simulation algorithm of python to study the optimization of preschool education resource allocation by means of big data. Firstly, analyze the shortcomings and shortcomings of the current domestic preschool education resource allocation; then introduce the development of big data technology and the dynamic simulation algorithm based on python; finally use the dynamic simulation algorithm to optimize the allocation of preschool education resources.
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大数据手段优化学前教育资源配置——基于Python的动态仿真算法
科技的进步和互联网的发展,使学前教育不断改革和进步。特别是大数据的发展,给学前教育带来了新的机遇。大数据算法可以优化学前教育资源配置。本文基于python的动态仿真算法,利用大数据对学前教育资源配置的优化进行研究。首先,分析当前国内学前教育资源配置的不足与不足;然后介绍了大数据技术的发展和基于python的动态仿真算法;最后利用动态仿真算法对学前教育资源进行优化配置。
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