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AgentKumaraVicky Fan
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Vicky_fixes (#35)
* edit partitions * update partitions * Update partitions * Remove Fair Share ref * Fix links * fix links --------- Co-authored-by: Vicky Fan <vicky.fan@nesi.org.nz>
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docs/Using_eRI/OpenOnDemand/Jupyter_kernels_Manual_management.md

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Many packages are preinstalled in our default Python and R environments
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and these can be extended further as described on the
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[Python](../../Scientific_Computing/Supported_Applications/Python.md) and
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[R](../../Scientific_Computing/Supported_Applications/R.md) support
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[Python](../Supported_Applications/Python.md) and
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[R](../Supported_Applications/R.md) support
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pages.
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## Adding a custom Python kernel
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!!! note "see also"
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See the [Jupyter kernels - Tool-assisted
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management](../../Scientific_Computing/Interactive_computing_using_Jupyter/Jupyter_kernels_Tool_assisted_management.md)
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management](Jupyter_kernels_Tool_assisted_management.md)
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page for the **preferred** way to register kernels, which uses the
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`nesi-add-kernel` command line tool to automate most of these manual
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steps.
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## Custom kernel in a Singularity container
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An example showing setting up a custom kernel running in a Singularity
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container can be found on our [Lambda Stack](../../Scientific_Computing/Supported_Applications/Lambda_Stack.md#lambda_stack_via_jupyter)
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container can be found on our [Lambda Stack](../Supported_Applications/Lambda_Stack.md#lambda_stack_via_jupyter)
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support page.
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## Adding a custom R kernel

docs/Using_eRI/OpenOnDemand/Jupyter_kernels_Tool_assisted_management.md

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module in your kernel or use a Conda environment.
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To register a Jupyter kernel, you can follow the steps highlighted in
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the [Jupyter kernels - Manual management](../../Scientific_Computing/Interactive_computing_using_Jupyter/Jupyter_kernels_Manual_management.md)
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or use the `nesi-add-kernel` tool provided within the [Jupyter on NeSI service](https://jupyter.nesi.org.nz).
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the [Jupyter kernels - Manual management](Jupyter_kernels_Manual_management.md)
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or use the `nesi-add-kernel` tool provided within [Jupyter on Open on Demand](https://ondemand.eri.agresearch.co.nz/).
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This page details the latter option, which we recommend.
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## Getting started

docs/Using_eRI/Running_Jobs/SLURM_Partitions.md

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### Interactive
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Specifying `--qos=interactive` will give a very high priority [interactive job](SLURM_Partitions.md).
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Specifying `--qos=interactive` will give a very high priority [interactive job](SLURM_Interactive_Sessions.md).
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## Requesting GPUs
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