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Social and Behavioral Sciences Commons

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Wayne State University

Library and Information Science

Python

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Full-Text Articles in Social and Behavioral Sciences

Using Old Streets To Make New Inroads To Data: Part 1, Cole Hudson Jan 2018

Using Old Streets To Make New Inroads To Data: Part 1, Cole Hudson

Library Scholarly Publications

This presentation was given at the 2018 Code4Lib Midwest conference. It told of an ongoing project at Wayne State to digitize and convert a book full of useful street data into a digital form. This book contained information on the re-mapping of Detroit streets in 1923, and the aim of this project was to build a widely accessible web platform with which to query this information.


Wrapping An Image Server In Proxy And Cache Blankets, Graham Hukill Jul 2016

Wrapping An Image Server In Proxy And Cache Blankets, Graham Hukill

Library Scholarly Publications

Serving images can be a digital object repository's bread and butter, but can touch on logistical and policy complexities. By wrapping the Python based "Loris" image server in a homegrown proxy, and caching with Varnish, we've been able to improve our image delivery, while keeping stakeholders happy as well.


Wsuls Digital Collections Api, Cole Hudson Jul 2015

Wsuls Digital Collections Api, Cole Hudson

Library Scholarly Publications

This presentation details the process by the WSU Digital Collections website retrieves and displays data onto the site...with an API. Code referenced was developed by Cole Hudson and Graham Hukill and can be found on Github.


Escape Velocity: What We Built (Digital Collections Infrastructure), Graham Hukill, Cole Hudson Jan 2015

Escape Velocity: What We Built (Digital Collections Infrastructure), Graham Hukill, Cole Hudson

Library Scholarly Publications

A poster outlining the Library's current Python-based digital collections infrastructure, with an eye towards a potential Hydra-based infrastructure in the future.


Wayne State University’S Digital Collections Infrastructure, Graham Hukill Jul 2014

Wayne State University’S Digital Collections Infrastructure, Graham Hukill

Library Scholarly Publications

At Wayne State University, we are in the process of building a digital collections infrastructure using Fedora Commons to store our digital objects, Solr as our primary search mechanism, and a combination of HTML / CSS / Javascript for the front-end user interface. These components are “glued” together with a Python based server that handles search, limited management of objects, and other specific functions. The missing piece in our digital collections infrastructure is a robust, reliable, sustainable, and easy-to-use tool for managing our digital collections and objects in Fedora Commons and Solr. This lightning outlined and demonstrated a python based …