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rewriting the episode LOs for getting-started.md
Trying to make more SMART objectives that use blooms verbs.
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episodes/getting-started.md

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- Learners are aware of applications for Python in library and information-science work environments.
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- Learners can launch JupyterLab and create a Jupyter Notebook.
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- Learners are able to navigate the JupyterLab interface.
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- Learners are able to write and run Python cells in a notebook.
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- Learners are able to save their code as an iPython notebook (.ipynb file).
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- Identify applications of Python in library and information science environments by the end of this lesson.
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- Launch JupyterLab and create a new Jupyter Notebook.
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- Navigate the JupyterLab interface, including file browsing, cell creation, and cell execution, with confidence.
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- Write and execute Python code in a Jupyter Notebook cell, observing the output and modifying code as needed.
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- Save a Jupyter Notebook as an .ipynb file and verify the file’s location in the directory within the session.
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- How do I use JupyterLab?
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- How can I run Python code in JupyterLab?
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- How can I identify and use key features of JupyterLab to create and manage a Python notebook?
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- How do I run Python code in JupyterLab, and how can I see and interpret the results?
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## Why Python?

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