diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index f8f2c60..4e10c0e 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -10,7 +10,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest]
-        python: [3.8, 3.9, 3.10,13, 3.11, 3.12]
+        python: ['3.9', '3.10', '3.11', '3.12']
     runs-on: ${{ matrix.os }}
 
     steps:
diff --git a/histogrammar/notebooks/__init__.py b/histogrammar/notebooks/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/histogrammar/primitives/sparselybin.py b/histogrammar/primitives/sparselybin.py
index e3f1c7f..4c2f227 100644
--- a/histogrammar/primitives/sparselybin.py
+++ b/histogrammar/primitives/sparselybin.py
@@ -657,7 +657,7 @@ def __repr__(self):
 
     def __eq__(self, other):
         return isinstance(other, SparselyBin) and numeq(self.binWidth, other.binWidth) and \
-               self.quantity == other.quantity and numeq(self.entries, other.entries) and self.bins == other.bins and \
+               self.quantity == other.quantity and numeq(self.entries, other.entries) and sorted(self.bins) == sorted(other.bins) and \
                self.nanflow == other.nanflow and numeq(self.origin, other.origin)
 
     def __ne__(self, other):
diff --git a/histogrammar/resources.py b/histogrammar/resources.py
index b347116..2c67cf2 100644
--- a/histogrammar/resources.py
+++ b/histogrammar/resources.py
@@ -19,22 +19,20 @@
 
 
 # Resources lookup file for histogrammar
-
-import pathlib
-from pkg_resources import resource_filename
-import histogrammar as hg
+from importlib import resources
+from histogrammar import test_data, notebooks
 
 
 # data files that are shipped with histogrammar.
 _DATA = {
     _.name: _
-    for _ in pathlib.Path(resource_filename(hg.__name__, "test_data")).glob("*")
+    for _ in resources.files(test_data).iterdir()
 }
 
 # Tutorial notebooks
 _NOTEBOOK = {
-    _.name: _
-    for _ in pathlib.Path(resource_filename(hg.__name__, "notebooks")).glob("*.ipynb")
+    p.name: p
+    for p in resources.files(notebooks).iterdir() if p.suffix == ".ipynb"
 }
 
 # Resource types
diff --git a/histogrammar/test_data/__init__.py b/histogrammar/test_data/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/requirements-test.txt b/requirements-test.txt
index 9272284..3dbc8db 100644
--- a/requirements-test.txt
+++ b/requirements-test.txt
@@ -4,4 +4,4 @@ jupyter_client>=5.2.3
 ipykernel>=5.1.3
 pre-commit>=2.9.0
 matplotlib
-pandas
\ No newline at end of file
+pandas<2.0.0
diff --git a/requirements.txt b/requirements.txt
index 28d93ce..100320e 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,3 @@
-numpy>=1.18.0
+numpy<2.0.0
 tqdm
 joblib>=0.14.0
diff --git a/tests/test_gpu.py b/tests/test_gpu.py
index 55800d2..e624111 100644
--- a/tests/test_gpu.py
+++ b/tests/test_gpu.py
@@ -16,10 +16,10 @@
 
 import json
 import math
+import shutil
 import subprocess
 import sys
 import unittest
-from distutils import spawn
 
 from histogrammar.defs import Factory
 from histogrammar.primitives.average import Average
@@ -54,7 +54,7 @@ class TestGPU(unittest.TestCase):
     except ImportError:
         numpy = None
 
-    nvcc = spawn.find_executable("nvcc")
+    nvcc = shutil.which("nvcc")
 
     def runTest(self):
         self.testCount()
diff --git a/tests/test_numpy.py b/tests/test_numpy.py
index 54f80cf..8d57f19 100644
--- a/tests/test_numpy.py
+++ b/tests/test_numpy.py
@@ -236,6 +236,9 @@ def compare(self, name, hnp, npdata, hpy, pydata):
         startTime = time.time()
         hnp.fill.numpy(npdata)
         numpyTime = time.time() - startTime
+        # protect against zero time.
+        numpyTime = max(numpyTime, 1e-10)
+
 
         if pydata.dtype != numpy.unicode_:
             for key in npdata:
@@ -261,6 +264,8 @@ def compare(self, name, hnp, npdata, hpy, pydata):
                 d = float(d)
             hpy.fill(d)
         pyTime = time.time() - startTime
+        # protect against zero time.
+        pyTime = max(pyTime, 1e-10)
 
         for h in [hpy2, hpy3, hpy3]:
             for d in pydata: