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Introduce what Jupyter is and why it’s useful
Identify the difference between Jupyter Lab and Jupyter Notebooks and when to use one tool over another
Demonstrate the Jupyter service within OnDemand across a variety of available languages and kernels
Demonstrate how Provide the steps to convert an existing Conda environment into a kernel that can be used within a Jupyter session
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