Update 03_singularity_with_conda.md

Author: Amanda-dong

docs/hpc/07_containers/03_singularity_with_conda.md

@@ -147,7 +147,7 @@ exit
 # exit Singularity
 ```
 
-#### Install packages
+#### Install Packages
 
 You may now install packages into the environment with either the `pip install` or `conda install` commands. 
 
@@ -202,7 +202,7 @@ Now, exit the Singularity container and then rename the overlay image. Typing `e
 exit
 mv overlay-15GB-500K.ext3 my_pytorch.ext3
 ```
-#### Test your PyTorch Singularity Image
+#### Test Your PyTorch Singularity Image
 ```sh
 singularity exec --overlay /scratch/<NetID>/pytorch-example/my_pytorch.ext3:ro /share/apps/images/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif /bin/bash -c 'source /ext3/env.sh; python -c "import torch; print(torch.__file__); print(torch.__version__)"'
 
@@ -213,7 +213,7 @@ singularity exec --overlay /scratch/<NetID>/pytorch-example/my_pytorch.ext3:ro /
  the end `:ro` addition at the end of the pytorch ext3 image starts the image in read-only mode. To add packages you will need to use `:rw` to launch it in read-write mode.
 :::
 
-### Using your Singularity Container in a SLURM Batch Job
+### Using Your Singularity Container in a SLURM Batch Job
 Below is an example script of how to call a python script, in this case `torch-test.py`, from a SLURM batch job using your new Singularity image
 
 torch-test.py:
@@ -276,7 +276,7 @@ cat slurm-3752662.out
 # True
 ```
 
-### Optional: Convert ext3 to a compressed, read-only squashfs filesystem
+### Optional: Convert ext3 to a Compressed, Read-only Squashfs Filesystem
 Singularity images can be compressed into read-only squashfs filesystems to conserve space in your environment. Use the following steps to convert your ext3 Singularity image into a smaller squashfs filesystem.
 ```sh
 srun -N1 -c4 singularity exec --overlay my_pytorch.ext3:ro /share/apps/images/centos-8.2.2004.sif mksquashfs /ext3 /scratch/<NetID>/pytorch-example/my_pytorch.sqf -keep-as-directory -processors 4 -noappend