Python-based Remote Server Data Collection Program for VASP
Shengjun Huo, Meiling Hou, Zhiwei Xiong · 2024
In today's data-driven world, the ability to collect and analyze data from remote servers has become an essential task for various industries. With the exponential growth of data, organizations require efficient and reliable methods to extract and process data from remote locations. This program design and development aims to address this need by leveraging the Python language and the Paramiko and Openpyxl libraries. The program's functional design consists of two primary modules: remote server interaction and Excel workbook generation. It features seven key function points, including logging in to the remote server, browsing the file system, searching for specific files, saving data, displaying reminder messages, forming predefined designs, and filling in information data. By utilizing this program, users can efficiently collect specific energy values from remote servers and organize them into Excel workbooks, facilitating data analysis and visualization. The program's ability to ensure data accuracy by checking for changes in the last half minute further enhances its reliability. Overall, this program provides a robust solution for data collection and analysis, making it an invaluable tool for organizations seeking to harness the power of remote data.