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The National Archives and Records Administration (NARA) has been using Python to transform metadata generated by partners to make digitized records publicly available in the National Archives Catalog. This presentation covers how Python was a game changer for NARA, details the code and workflow for data transformation with Python, and discusses continuing challenges the agency faces in its goal to make hundreds of millions of records accessible going forward.
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