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**Running JupyterLab** Once Docker is running (in either Windows or MacOS), you need to download and run the virtual machine that we have made available
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for the worksheets. In the search bar, enter `ubcdsci/r-dsci-100`, as this is the name of the virtual machine image. You will be presented
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with a few options (Figure \@ref(fig:docker-desktop-search)). In the "Tag" drop down menu, click the tag `20230724142640d8f06f` to select the
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correct version of the image. Then click the "Pull" button to download the image.
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**Running JupyterLab** Once Docker is running (in either Windows or MacOS), you need to download and run the
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Docker *image* that we have made available for the worksheets (an *image* is like a "snapshot" of a
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computer with all the right packages pre-installed). In the search bar, enter `ubcdsci/r-dsci-100`, as this is
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the name of the image. You will be presented
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with a few options (Figure \@ref(fig:docker-desktop-search)). In the "Tag" drop down menu, click
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the tag `20230724142640d8f06f` to select the correct version of the image. Then click
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the "Pull" button to download the image.
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```{r docker-desktop-search, echo = FALSE, fig.cap = "The Docker Desktop search window. Make sure to click the Tag drop down menu and find the right version of the image before clicking the Pull button to download it.", fig.retina = 2, out.width="100%"}
To run the virtual machine, click the play button beside the image. This will open the run configuration menu (Figure \@ref(fig:docker-desktop-runconfig)).
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To start up a *container* using that image, click the play button beside the image. This will open the run configuration menu (Figure \@ref(fig:docker-desktop-runconfig)).
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In the "Host port" textbox, enter `8888`. In the "Volumes" section, click the "Host path" box and navigate to the folder where your Jupyter worksheets
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are stored. In the "Container path" text box, enter `/home/jovyan/work`. Then click the "Run" button to start the container.
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