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CITATION.cff

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+# This CITATION.cff file was generated with cffinit.
+# Visit https://bit.ly/cffinit to generate yours today!
+
+cff-version: 1.2.0
+title: ' Python Intro for Libraries '
+message: >-
+  Please cite this lesson using the information in this
+  file   when you refer to it in publications, and/or if
+  you   re-use, adapt, or expand on the content in your
+  own   training material.
+type: dataset
+authors:
+  - given-names: Cody
+    family-names: Hennesy
+    orcid: 'https://orcid.org/0000-0002-9410-9810'
+  - given-names: Tim
+    family-names: Dennis
+    email: [email protected]
+    orcid: 'https://orcid.org/0000-0001-6632-3812'
+  - given-names: Scott
+    family-names: Peterson
+    orcid: 'https://orcid.org/0000-0002-1920-616X'
+  - family-names: Palmquist
+    given-names: David
+identifiers:
+  - type: doi
+    value: 10.5281/zenodo.12582386
+repository-code: 'https://github.com/LibraryCarpentry/lc-python-intro'
+url: 'https://librarycarpentry.org/lc-python-intro/'
+abstract: >-
+  This lesson is an introduction to programming in Python
+  for library and information workers with little or no
+  previous programming experience. It uses examples that are
+  relevant to a range of library use cases, and is designed
+  as a prerequisite for other Python lessons that will be
+  developed in the future (e.g., web scraping, APIs). The
+  lesson uses the JupyterLab computing environment and
+  Python 3.
+keywords:
+  - Carpentries
+  - Python
+  - Library Carpentry
+  - Jupyter Notebooks
+  - Data Science
+  - Libraries
+license: CC-BY-4.0