Python per archivisti e bibliotecari

Danilo Deana

Abstract


Working with a multitude of digital tools is now a core part of a librarian’s or an archivist’s skillset. We work with collection management systems, digital asset management systems, public access systems, ticketing or request systems, local databases, general web applications, and systems built on smaller systems linked through application programming interfaces (APIs). Yet, this landscape can be difficult to manage. How do we get all of these systems that rely on different software and use data in different ways to talk to one another in ways that help, rather than hinder, our day to day tasks? Python is the perfect power tool for this problem. Its syntax is relatively simple and intuitive, it is extremely well-documented, and it has an enormous number of libraries optimized to solve just about every problem we have.

Keyword


Python; archivi; biblioteche; Data mining; dati

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DOI: http://dx.doi.org/10.3302/0392-8586-202007-045-1

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