Treffer: Python语言在水文水资源领域中的应用与展望.

Python programming language has gradually become a promising data analysis tool that can be widely used in various fields. However, in the field of hydrology and water resources, there is little research on using Python language for scientific analysis. Firstly, in this thesis, the common Python libraries used in the field of hydrology and water resources are introduced, based on the main research direction and application scenarios of Python language, in this thesis, the main research contents of it in the field of hydrology and water resources are summarized from four aspects：web crawler, data analysis, in-depth learning and Web development. Then, the common algorithms of deep learning used in the field are also summarized. Finally, from the prospects of automatic prediction, edge computation, virtual and augmented reality, reinforcement learning and transfer learning, it is expected to promote the rapid development of the field of hydrology and water resources with the advanced computer technology realized by Python language. [ABSTRACT FROM AUTHOR]

Python编程语言逐渐成为各领域中应用前景广阔的数据分析工具.然而,在水文水资源领域中利用Python语言进行科学分析的研究较少.介绍了常用于水文水资源领域的Python库；基于Python语言的主要研究方向和应用场景,从网络爬虫、数据分析、深度学习和Web开发4个方面综述了Python语言在水文水资源领域的主要研究内容；归纳了深度学习运用在水文水资源领域的常见算法；从自动预测、边缘计算、虚拟现实技术、强化学习和迁移学习等方面进行了展望,期望以Python语言实现的前沿计算机技术为动力,促进水文水资源领域的快速发展. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)