diff --git a/examples/calculations/Smoothing.py b/examples/calculations/Smoothing.py
index a4ca2c278b9..333ada73a29 100644
--- a/examples/calculations/Smoothing.py
+++ b/examples/calculations/Smoothing.py
@@ -22,11 +22,11 @@
 
 ###########################################
 # Start with a base pattern with random noise
-np.random.seed(61461542)
+rng = np.random.default_rng(61461542)
 size = 128
 x, y = np.mgrid[:size, :size]
 distance = np.sqrt((x - size / 2) ** 2 + (y - size / 2) ** 2)
-raw_data = np.random.random((size, size)) * 0.3 + distance / distance.max() * 0.7
+raw_data = rng.random((size, size)) * 0.3 + distance / distance.max() * 0.7
 
 fig, ax = plt.subplots(1, 1, figsize=(4, 4))
 ax.set_title('Raw Data')
diff --git a/examples/gridding/Inverse_Distance_Verification.py b/examples/gridding/Inverse_Distance_Verification.py
index 3427aae85f2..d17d5f274b7 100644
--- a/examples/gridding/Inverse_Distance_Verification.py
+++ b/examples/gridding/Inverse_Distance_Verification.py
@@ -46,9 +46,9 @@ def draw_circle(ax, x, y, r, m, label):
 # Generate random x and y coordinates, and observation values proportional to x * y.
 #
 # Set up two test grid locations at (30, 30) and (60, 60).
-np.random.seed(100)
 
-pts = np.random.randint(0, 100, (10, 2))
+pts = np.array([[8, 24], [67, 87], [79, 48], [10, 94], [52, 98],
+                [53, 66], [98, 14], [34, 24], [15, 60], [58, 16]])
 xp = pts[:, 0]
 yp = pts[:, 1]
 zp = xp**2 / 1000
diff --git a/examples/gridding/Natural_Neighbor_Verification.py b/examples/gridding/Natural_Neighbor_Verification.py
index ae314665708..b63b2bcd76e 100644
--- a/examples/gridding/Natural_Neighbor_Verification.py
+++ b/examples/gridding/Natural_Neighbor_Verification.py
@@ -67,9 +67,11 @@
 # estimate a value using natural neighbor interpolation.
 #
 # The locations of these observations are then used to generate a Delaunay triangulation.
-np.random.seed(100)
 
-pts = np.random.randint(0, 100, (10, 2))
+# Some randomly selected points
+pts = np.array([[8, 24], [67, 87], [79, 48], [10, 94], [52, 98],
+                [53, 66], [98, 14], [34, 24], [15, 60], [58, 16]])
+
 xp = pts[:, 0]
 yp = pts[:, 1]
 zp = (pts[:, 0] * pts[:, 0]) / 1000
diff --git a/pyproject.toml b/pyproject.toml
index 51e5d5b5fca..eb8c65bcc71 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -119,7 +119,7 @@ filterwarnings = [
 [tool.ruff]
 line-length = 95
 exclude = ["docs", "build", "src/metpy/io/_metar_parser/metar_parser.py"]
-select = ["A", "B", "C", "CPY001", "D", "E", "E226", "F", "G", "I", "N", "Q", "R", "S", "T", "U", "W"]
+select = ["A", "B", "C", "CPY001", "D", "E", "E226", "F", "G", "I", "N", "NPY", "Q", "R", "S", "T", "U", "W"]
 ignore = ["F405", "I001", "RET504", "RET505", "RET506", "RET507", "RUF100"]
 preview = true
 explicit-preview-rules = true