diff --git a/script/get-publish-history.py b/script/get-publish-history.py
index 4bc3797..206c220 100644
--- a/script/get-publish-history.py
+++ b/script/get-publish-history.py
@@ -1,17 +1,17 @@
-## Imports
+# std
 import os
 import sys
-import git
 import io
 from pathlib import Path
 import json
+
+# non-std
+import git
 import pandas as pd
 
-## Module Constants
 DATE_TIME_FORMAT = "%Y-%m-%dT%H:%M:%S%z"
 EMPTY_TREE_SHA   = "4b825dc642cb6eb9a060e54bf8d69288fbee4904"
 
-
 def versions(path, branch='master'):
     """
     This function returns a generator which iterates through all commits of
@@ -70,55 +70,23 @@ def versions(path, branch='master'):
                 'commit': commit.hexsha,
                 'author': commit.author.email,
                 'time': commit.authored_datetime.strftime(DATE_TIME_FORMAT),
-                #'size': diff_size(diff),
-                #'type': diff_type(diff),
                 'crate_name': d['name'],
                 'version': d['vers'],
-                #'json': lastline,
             }
-
-            # Update the stats with the additional information
-            # stats.update(row)
-            # yield stats
-
             yield row
 
-
-#def diff_size(diff):
-#    """
-#    Computes the size of the diff by comparing the size of the blobs.
-#    """
-#    if diff.b_blob is None and diff.deleted_file:
-#        # This is a deletion, so return negative the size of the original.
-#        return diff.a_blob.size * -1
-#
-#    if diff.a_blob is None and diff.new_file:
-#        # This is a new file, so return the size of the new value.
-#        return diff.b_blob.size
-#
-#    # Otherwise just return the size a-b
-#    return diff.a_blob.size - diff.b_blob.size
-#
-#
-#def diff_type(diff):
-#    """
-#    Determines the type of the diff by looking at the diff flags.
-#    """
-#    if diff.renamed: return 'R'
-#    if diff.deleted_file: return 'D'
-#    if diff.new_file: return 'A'
-#    return 'M'
-
 def main(path):
     df = pd.DataFrame(versions(path))
     df['time'] = pd.to_datetime(df['time'], utc=True)
-    # df['unix_nanos'] = df['time'].astype('int')
     df = df.sort_values(by='time').groupby(['crate_name', 'version']).last().reset_index()
     buf = io.StringIO()
     df.to_csv(buf, index=False)
     print(buf.getvalue())
 
 if __name__ == '__main__':
-    path = sys.argv[1]
-    main(path)
+    if len(sys.argv) == 1 or any(a == '-h' or a == '--help' for a in sys.argv):
+        print("USAGE:\n    python3 get-publish-history.py PATH\n", file=sys.stderr)
+    else:
+        path = sys.argv[1]
+        main(path)