diff --git a/scripts/guides/hpc/example_cpu_and_gpu.py b/scripts/guides/hpc/example_cpu_and_gpu.py
index 6a6e9ada..e0362fce 100644
--- a/scripts/guides/hpc/example_cpu_and_gpu.py
+++ b/scripts/guides/hpc/example_cpu_and_gpu.py
@@ -61,7 +61,7 @@
 """
 from pathlib import Path
 
-hpc_output_path = Path(path.sep) / "hpc" / "data" / "hpc_username" / "output"
+hpc_output_path = Path("/") / "hpc" / "data" / "hpc_username" / "output"
 
 """
 __HPC Dataset Path__
@@ -79,7 +79,7 @@
 dataset_name = "simple"
 
 hpc_dataset_path = (
-    Path(path.sep)
+    Path("/")
     / "hpc"
     / "data"
     / "hpc_username"
@@ -97,7 +97,7 @@
 But may be where you store the python galaxy modeling scripts you run on the HPC, the config files, batch scripts
 and other files you use to set up galaxy modeling on the hpc.
 """
-home_path = Path(path.sep, "hpc", "home", "hpc_username")
+home_path = Path("/", "hpc", "home", "hpc_username")
 
 """
 On the HPC, most likely in your home directory, you should have a config folder which contains the config files used by
@@ -204,7 +204,7 @@
 """
 dataset_path = Path(hpc_dataset_path, dataset_type, dataset_name)
 
-if not dataset_Path().exists():
+if not dataset_path.exists():
     local_dataset_path = Path.cwd()
     dataset_type = "imaging"
     dataset_path = Path(local_dataset_path, "dataset", dataset_type, dataset_name)
@@ -239,7 +239,7 @@
 
 dataset_path = Path(hpc_dataset_path, dataset_folder, dataset_name)
 
-if not dataset_Path().exists():
+if not dataset_path.exists():
     local_dataset_path = Path.cwd()
     dataset_folder = "imaging"
     dataset_path = Path(local_dataset_path, "dataset", dataset_folder, dataset_name)
@@ -251,7 +251,7 @@
 If the dataset does not already exist on your system, it will be created by running the corresponding
 simulator script. This ensures that all example scripts can be run without manually simulating data first.
 """
-if not dataset_Path().exists():
+if not dataset_path.exists():
     import subprocess
     import sys