Treffer: Analyzing EZproxy SPU Logs Using Python Data Analysis Tools

Title:
Analyzing EZproxy SPU Logs Using Python Data Analysis Tools
Source:
Code4Lib Journal, Iss 42 (2018)
Publisher Information:
Code4Lib, 2018.
Publication Year:
2018
Document Type:
Fachzeitschrift Article
Language:
English
ISSN:
1940-5758
Accession Number:
edsair.doajarticles..a26425e5c6fd2df0b8196c47b71e0396
Database:
OpenAIRE

Weitere Informationen

Even with the assortment of free and ready-made tools for analyzing EZproxy log files, it can be difficult to get useful, meaningful data from them. Using the Python programming language with its collection of modules created specifically for data analysis can help with this task, and ultimately result in better and more useful data customized to the needs of the library using it. This article describes how Our Lady of the Lake University used Python to analyze its EZproxy log files to get more meaningful data, including a walk-through of the code needed to accomplish this task.