minor polish

Author: s-sajid-ali

docs/hpc/14_tutorial_apptainer/03_apptainer_files.mdx

@@ -27,7 +27,7 @@ Apptainer allows additional directories to be mounted using the `-B` option:
 
 ```bash
 apptainer shell \
-    -B /scratch/(NetID):/data \
+    -B /scratch/<NetID>:/data \
     /share/apps/images/ubuntu-24.04.3.sif
 ```
 
@@ -39,12 +39,13 @@ After entering the container, you can verify the mount:
 ls /data
 ```
 
-Any files stored in `/scratch <NetID>` on the host system will be accessible through `/data` inside the container.
+Any files stored in `/scratch/<NetID>` on the host system will be accessible through `/data` inside the container.
 
 The source and destination paths do not need to be the same. This can be useful when an application expects data to be located in a specific directory within the container.
 
-## Why This Matters
+::: info
 
 Container images are typically read-only. Research data, scripts, notebooks, and output files usually remain outside the container.
 
 By making host directories available inside the container, Apptainer allows applications to access data stored on Torch while maintaining a reproducible software environment.
+:::

docs/hpc/14_tutorial_apptainer/04_docker_images.mdx

@@ -16,7 +16,7 @@ apptainer pull pytorch.sif docker://pytorch/pytorch:latest
 
 During the pull process, Apptainer downloads the Docker image layers and converts them into a single SIF image:
 
-```text
+```bash
 INFO:    Converting OCI blobs to SIF format
 INFO:    Starting build...
 INFO:    Fetching OCI image...

docs/hpc/14_tutorial_apptainer/05_customize_container_environments.mdx

@@ -26,7 +26,7 @@ apptainer shell \
     python.sif
 ```
 
-Verify that numpy is not installed in the base image:
+Verify that `numpy` is not installed in the base image:
 
 ```bash
 python -c "import numpy"
@@ -38,7 +38,7 @@ You should see:
 ModuleNotFoundError: No module named 'numpy'
 ```
 
-Install numpy:
+Install `numpy`:
 
 ```bash
 pip install numpy