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Friday, November 4 • 3:35pm - 4:15pm
Wrangle Your Data like a Pro with the Data Processing Power of Python

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Management, delivery, and marketing of library resources and collections necessitate interaction with a plethora of data from many sources and in many forms. Accessing and transforming data into meaningful information or different formats used in library automation can be time consuming, but a basic working knowledge of a programming language can improve efficiency in many facets of librarianship. It can be intimidating to get started with programming, but this is a session for beginners.

From processing Excel data to creating XML, from editing MARC records before upload to summarizing usage data in reports, Geoff and Jeremy have harnessed the Python programming language and third party Application Program Interfaces (APIs) to accomplish both behind the scenes and end user facing projects.

Creating programmatic solutions to problems requires an understanding of potential. This session has two main purposes: firstly, attendees will be introduced to the data sources, flows, and transformations used to accomplish existing projects at Mercer University and The College of Charleston. Foundational programming techniques will be explained and resources for learning Python will be shared; and secondly, attendees will be better able to communicate with library systems departments about data transformation needs and might just start the journey to becoming programmers themselves.

Speakers
avatar for Jeremy Brown

Jeremy Brown

Assistant Dean for Technical Services & Systems, Mercer University Library
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Geoff Timms

Librarian for Marine Resources, College of Charleston
Professional interests are information literacy of graduate students and the creation of web applications to enhance user experience of libraries and improve internal process efficiency. As Librarian for Marine Resources, I feel obliged to fish regularly.



Friday November 4, 2016 3:35pm - 4:15pm EDT
Cooper Room, Courtyard Marriott 125 Calhoun Street, Charleston, SC 29401