Apply suggestion from @sadpandajoe

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pyproject.toml

@@ -83,7 +83,7 @@ dependencies = [
     "packaging",
     # --------------------------
     # pandas and related (wanting pandas[performance] without numba as it's 100+MB and not needed)
-    "pandas[excel]>=2.3.3, <2.4",
+    "pandas[excel]>=2.3.3, <3.1",
     "bottleneck", # recommended performance dependency for pandas, see https://pandas.pydata.org/docs/getting_started/install.html#performance-dependencies-recommended
     # --------------------------
     "parsedatetime",

requirements/base.txt

@@ -277,7 +277,7 @@ packaging==25.0
     #   kombu
     #   limits
     #   shillelagh
-pandas==2.3.3
+pandas==3.0.5
     # via apache-superset (pyproject.toml)
 paramiko==3.5.1
     # via
@@ -347,9 +347,7 @@ python-dateutil==2.9.0.post0
 python-dotenv==1.2.2
     # via apache-superset (pyproject.toml)
 pytz==2025.2
-    # via
-    #   flask-babel
-    #   pandas
+    # via flask-babel
 pyxlsb==1.0.10
     # via pandas
 pyyaml==6.0.3
@@ -448,9 +446,7 @@ typing-extensions==4.16.0
 typing-inspection==0.4.2
     # via pydantic
 tzdata==2025.2
-    # via
-    #   kombu
-    #   pandas
+    # via kombu
 tzlocal==5.4.4
     # via celery
 url-normalize==2.2.1

requirements/development.txt

@@ -642,7 +642,7 @@ packaging==25.0
     #   pytest
     #   shillelagh
     #   sqlalchemy-bigquery
-pandas==2.3.3
+pandas==3.0.5
     # via
     #   -c requirements/base-constraint.txt
     #   apache-superset
@@ -859,7 +859,6 @@ pytz==2025.2
     # via
     #   -c requirements/base-constraint.txt
     #   flask-babel
-    #   pandas
     #   trino
 pyxlsb==1.0.10
     # via
@@ -1080,7 +1079,6 @@ tzdata==2025.2
     # via
     #   -c requirements/base-constraint.txt
     #   kombu
-    #   pandas
 tzlocal==5.4.4
     # via
     #   -c requirements/base-constraint.txt