diff --git a/modelscan/cli.py b/modelscan/cli.py
index 1a232f2..eafc69b 100644
--- a/modelscan/cli.py
+++ b/modelscan/cli.py
@@ -132,7 +132,7 @@ def scan(
         raise click.UsageError("Command line must include a path")
 
     # Report scan results
-    if reporting_format is not "custom":
+    if reporting_format != "custom":
         modelscan._settings["reporting"]["module"] = DEFAULT_REPORTING_MODULES[
             reporting_format
         ]
diff --git a/modelscan/reports.py b/modelscan/reports.py
index dbf9f86..f09159b 100644
--- a/modelscan/reports.py
+++ b/modelscan/reports.py
@@ -32,7 +32,7 @@ def generate(
 
         :param errors: Any errors that occurred during the scan.
         """
-        raise NotImplemented
+        raise NotImplementedError
 
 
 class ConsoleReport(Report):
@@ -75,7 +75,7 @@ def generate(
                 f"\nTotal skipped: {len(scan.skipped)} - run with --show-skipped to see the full list."
             )
             if settings["show_skipped"]:
-                print(f"\nSkipped files list:\n")
+                print("\nSkipped files list:\n")
                 for file_name in scan.skipped:
                     print(str(file_name))
 
diff --git a/modelscan/scanners/h5/scan.py b/modelscan/scanners/h5/scan.py
index b0644a3..44a52c9 100644
--- a/modelscan/scanners/h5/scan.py
+++ b/modelscan/scanners/h5/scan.py
@@ -102,7 +102,7 @@ def _get_keras_h5_operator_names(self, model: Model) -> Optional[List[Any]]:
 
         with h5py.File(model.get_stream()) as model_hdf5:
             try:
-                if not "model_config" in model_hdf5.attrs.keys():
+                if "model_config" not in model_hdf5.attrs.keys():
                     return None
 
                 model_config = json.loads(model_hdf5.attrs.get("model_config", {}))
diff --git a/modelscan/scanners/keras/scan.py b/modelscan/scanners/keras/scan.py
index 54fd561..62feb76 100644
--- a/modelscan/scanners/keras/scan.py
+++ b/modelscan/scanners/keras/scan.py
@@ -91,7 +91,7 @@ def _scan_keras_config_file(self, model: Model) -> ScanResults:
                     ModelScanError(
                         self.name(),
                         ErrorCategories.JSON_DECODE,
-                        f"Not a valid JSON data",
+                        "Not a valid JSON data",
                         str(model.get_source()),
                     )
                 ],
diff --git a/modelscan/scanners/saved_model/scan.py b/modelscan/scanners/saved_model/scan.py
index 54e53a0..811e5d8 100644
--- a/modelscan/scanners/saved_model/scan.py
+++ b/modelscan/scanners/saved_model/scan.py
@@ -2,9 +2,8 @@
 
 import json
 import logging
-from pathlib import Path
 
-from typing import IO, List, Set, Union, Optional, Dict, Any
+from typing import List, Set, Optional, Dict, Any
 
 try:
     import tensorflow
diff --git a/modelscan/tools/picklescanner.py b/modelscan/tools/picklescanner.py
index 0320529..eb722d0 100644
--- a/modelscan/tools/picklescanner.py
+++ b/modelscan/tools/picklescanner.py
@@ -260,7 +260,7 @@ def scan_pytorch(model: Model, settings: Dict[str, Any]) -> ScanResults:
                 ModelScanSkipped(
                     scan_name,
                     SkipCategories.MAGIC_NUMBER,
-                    f"Invalid magic number",
+                    "Invalid magic number",
                     str(model.get_source()),
                 )
             ],
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 6fedb5e..52a195c 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -3,7 +3,6 @@
 import pickle
 import struct
 from typing import Any, Tuple
-import os
 import torch
 import torch.nn as nn
 import tensorflow as tf