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articles/machine-learning/concept-compute-instance.md

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|R kernel||
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You can [Add RStudio or Posit Workbench (formerly RStudio Workbench)](how-to-create-manage-compute-instance.md#add-custom-applications-such-as-rstudio-preview) when you create the instance.
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You can [Add RStudio or Posit Workbench (formerly RStudio Workbench)](how-to-create-manage-compute-instance.md#add-custom-applications-such-as-rstudio-or-posit-workbench-preview) when you create the instance.
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|**PYTHON** tools & environments|Details|
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articles/machine-learning/how-to-access-terminal.md

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In addition to the steps above, you can also access the terminal from:
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* RStudio or Posit Workbench (formerly RStudio Workbench) (See [Add custom applications such as RStudio or Posit Workbench)](how-to-create-manage-compute-instance.md?tabs=python#add-custom-applications-such-as-rstudio-or-posit-workbench=preview)): Select the **Terminal** tab on top left.
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* RStudio or Posit Workbench (formerly RStudio Workbench) (See [Add custom applications such as RStudio or Posit Workbench)](how-to-create-manage-compute-instance.md?tabs=python#add-custom-applications-such-as-rstudio-or-posit-workbench-preview)): Select the **Terminal** tab on top left.
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* Jupyter Lab: Select the **Terminal** tile under the **Other** heading in the Launcher tab.
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* Jupyter: Select **New>Terminal** on top right in the Files tab.
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* SSH to the machine, if you enabled SSH access when the compute instance was created.

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