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.github/workflows/README.md

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This update is run ~~weekly or~~ on demand.
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### 03 Maintain: Update Pacakge Cache (update-cache.yaml)
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### 03 Maintain: Update Package Cache (update-cache.yaml)
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For lessons that have generated content, we use {renv} to ensure that the output
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is stable. This is controlled by a single lockfile which documents the packages
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0.12.4
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0.16.3

CONTRIBUTING.md

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2. If you have a [GitHub][github] account, or are willing to [create
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one][github-join], but do not know how to use Git, you can report problems
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or suggest improvements by [creating an issue][issues]. This allows us to
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assign the item to someone and to respond to it in a threaded discussion.
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or suggest improvements by [creating an issue][repo-issues]. This allows us
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to assign the item to someone and to respond to it in a threaded discussion.
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3. If you are comfortable with Git, and would like to add or change material,
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you can submit a pull request (PR). Instructions for doing this are
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[included below](#using-github).
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[included below](#using-github). For inspiration about changes that need to
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be made, check out the [list of open issues][issues] across the Carpentries.
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Note: if you want to build the website locally, please refer to [The Workbench
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documentation][template-doc].
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existing ones to updating or filling in the documentation and submitting [bug
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reports][issues] about things that do not work, are not clear, or are missing.
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If you are looking for ideas, please see [the list of issues for this
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repository][repo], or the issues for [Data Carpentry][dc-issues], [Library
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Carpentry][lc-issues], and [Software Carpentry][swc-issues] projects.
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repository][repo-issues], or the issues for [Data Carpentry][dc-issues],
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[Library Carpentry][lc-issues], and [Software Carpentry][swc-issues] projects.
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Comments on issues and reviews of pull requests are just as welcome: we are
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smarter together than we are on our own. **Reviews from novices and newcomers
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media, slack, newsletters, and email lists. You can also [reach us by
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email][contact].
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[repo]: https://example.com/FIXME
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[repo]: https://github.com/LibraryCarpentry/lc-python-intro/
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[repo-issues]: https://github.com/LibraryCarpentry/lc-python-intro/issues
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[contact]: mailto:[email protected]
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[cp-site]: https://carpentries.org/
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[dc-issues]: https://github.com/issues?q=user%3Adatacarpentry
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[github]: https://github.com
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[github-flow]: https://guides.github.com/introduction/flow/
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[github-join]: https://github.com/join
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[how-contribute]: https://egghead.io/series/how-to-contribute-to-an-open-source-project-on-github
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[how-contribute]: https://egghead.io/courses/how-to-contribute-to-an-open-source-project-on-github
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[issues]: https://carpentries.org/help-wanted-issues/
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[lc-issues]: https://github.com/issues?q=user%3ALibraryCarpentry
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[swc-issues]: https://github.com/issues?q=user%3Aswcarpentry

config.yaml

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# possible values: pre-alpha, alpha, beta, stable
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life_cycle: 'beta'
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# License of the lesson materials (recommended CC-BY 4.0)
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license: 'CC-BY 4.0'
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index.md

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permalink: index.html
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site: sandpaper::sandpaper_site
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---
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:::::::::::::::::::::::::::::::::::::::::: callout
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## Major lesson update: June 14, 2024
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The Python Intro for Libraries lesson has had a major redesign and will replace this lesson on June 14, 2024. The new Python lesson features a different dataset (of library usage data) and uses JupyterLab (instead of Spyder). Due to the scope of changes, the lesson was developed [in a separate GitHub repository](https://github.com/chennesy/lc-python-intro).
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- If you are planning to teach the Python for Librarians lesson *before* June 14, 2024 we advise teaching [the new lesson](https://github.com/chennesy/lc-python-intro) from this fork.
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- If you are planning to teach the lesson *after* June 14, 2024, this lesson will be up to date, and you can prepare to teach using the [forked version](https://github.com/chennesy/lc-python-intro).
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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.
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