deps: Drop support for python 3.9

.github/workflows/downstream_tests.yml

@@ -474,7 +474,7 @@ jobs:
   validoopsie:
     strategy:
       matrix:
-        python-version: ["3.9", "3.12"] # 3.9 and 3.12 are enough to cover all the tests
+        python-version: ["3.10", "3.13"] # these are enough to cover all the tests
         os: ["ubuntu-latest"]
     runs-on: ${{ matrix.os }}
     steps:

.github/workflows/extremes.yml

@@ -11,7 +11,7 @@ jobs:
   minimum_versions:
     strategy:
       matrix:
-        python-version: ["3.9"]
+        python-version: ["3.10"]
         os: [ubuntu-latest]
 
     runs-on: ${{ matrix.os }}
@@ -27,7 +27,18 @@ jobs:
           cache-suffix: min-versions-${{ matrix.python-version }}
           cache-dependency-glob: "pyproject.toml"
       - name: install-minimum-versions
-        run: uv pip install pipdeptree tox virtualenv setuptools pandas==1.1.3 polars==0.20.4 numpy==1.19.3 pyarrow==13.0.0 "pyarrow-stubs<17" scipy==1.6.0 scikit-learn==1.1.0 duckdb==1.1 tzdata
+        run: |
+          uv pip install \
+            pipdeptree tox virtualenv setuptools tzdata \
+            pandas==1.3.4 \
+            polars==0.20.4 \
+            numpy==1.21.4 \
+            pyarrow==13.0.0 \
+            "pyarrow-stubs<17" \
+            scipy==1.7.3 \
+            scikit-learn==1.1.0 \
+            duckdb==1.1 \
+            --system
       - name: install-reqs
         run: |
           uv pip install -e . --group tests
@@ -36,11 +47,11 @@ jobs:
       - name: Assert dependencies
         run: |
           DEPS=$(uv pip freeze)
-          echo "$DEPS" | grep 'pandas==1.1.3'
+          echo "$DEPS" | grep 'pandas==1.3.4'
           echo "$DEPS" | grep 'polars==0.20.4'
-          echo "$DEPS" | grep 'numpy==1.19.3'
+          echo "$DEPS" | grep 'numpy==1.21.4'
           echo "$DEPS" | grep 'pyarrow==13.0.0'
-          echo "$DEPS" | grep 'scipy==1.6.0'
+          echo "$DEPS" | grep 'scipy==1.7.3'
           echo "$DEPS" | grep 'scikit-learn==1.1.0'
           echo "$DEPS" | grep 'duckdb==1.1'
       - name: Run pytest
@@ -49,7 +60,7 @@ jobs:
   pretty_old_versions:
     strategy:
       matrix:
-        python-version: ["3.9"]
+        python-version: ["3.10"]
         os: [ubuntu-latest]
     runs-on: ${{ matrix.os }}
     steps:
@@ -64,7 +75,18 @@ jobs:
           cache-suffix: pretty-old-versions-${{ matrix.python-version }}
           cache-dependency-glob: "pyproject.toml"
       - name: install-pretty-old-versions
-        run: uv pip install pipdeptree tox virtualenv setuptools pandas==1.1.5 polars==0.20.4 numpy==1.19.3 pyarrow==14.0.0 "pyarrow-stubs<17" scipy==1.6.0 scikit-learn==1.1.0 duckdb==1.2 tzdata
+        run: |
+          uv pip install \
+            pipdeptree tox virtualenv setuptools tzdata \
+            pandas==1.4.1 \
+            polars==0.20.4 \
+            numpy==1.22.0 \
+            pyarrow==14.0.0 \
+            "pyarrow-stubs<17" \
+            scipy==1.8.0 \
+            scikit-learn==1.1.0 \
+            duckdb==1.2 \
+            --system
       - name: install-reqs
         run: uv pip install -e . --group tests
       - name: show-deps
@@ -74,11 +96,11 @@ jobs:
       - name: Assert pretty old versions dependencies
         run : |
           DEPS=$(uv pip freeze)
-          echo "$DEPS" | grep 'pandas==1.1.5'
+          echo "$DEPS" | grep 'pandas==1.4.1'
           echo "$DEPS" | grep 'polars==0.20.4'
-          echo "$DEPS" | grep 'numpy==1.19.3'
+          echo "$DEPS" | grep 'numpy==1.22.0'
           echo "$DEPS" | grep 'pyarrow==14.0.0'
-          echo "$DEPS" | grep 'scipy==1.6.0'
+          echo "$DEPS" | grep 'scipy==1.8.0'
           echo "$DEPS" | grep 'scikit-learn==1.1.0'
           echo "$DEPS" | grep 'duckdb==1.2'
       - name: Run pytest

.github/workflows/pytest.yml

@@ -8,10 +8,10 @@ env:
   PYTEST_ADDOPTS: "--numprocesses=logical"
   UV_SYSTEM_PYTHON: 1
 jobs:
-  pytest-39:
+  pytest-310:
     strategy:
       matrix:
-        python-version: ["3.9"]
+        python-version: ["3.10"]
         os: [windows-latest, ubuntu-latest]
     runs-on: ${{ matrix.os }}
     steps:
@@ -23,7 +23,7 @@ jobs:
         uses: astral-sh/setup-uv@v7
         with:
           enable-cache: "true"
-          cache-suffix: pytest-39-${{ matrix.python-version }}
+          cache-suffix: pytest-310-${{ matrix.python-version }}
           cache-dependency-glob: "pyproject.toml"
       - name: install-reqs
         run: uv pip install -e ".[pandas,polars,pyarrow]" --group tests
@@ -37,7 +37,7 @@ jobs:
   pytest-windows:
     strategy:
       matrix:
-        python-version: ["3.10", "3.12"]
+        python-version: ["3.10", "3.13"]
         os: [windows-latest]
     runs-on: ${{ matrix.os }}
     steps:

.github/workflows/random_ci_pytest.yml

@@ -11,7 +11,7 @@ jobs:
   tox:
     strategy:
       matrix:
-        python-version: ["3.9"]
+        python-version: ["3.10"]
         os: [ubuntu-latest]
 
     runs-on: ${{ matrix.os }}

.pre-commit-config.yaml

@@ -52,7 +52,7 @@ repos:
         # TODO(unassigned): replace with ruff once https://github.com/astral-sh/ruff/issues/2302 is addressed.
         name: flake8-typing-imports
         alias: flake8-typing-imports
-        entry: flake8 --select TYP --min-python-version=3.9.0
+        entry: flake8 --select TYP --min-python-version=3.10.0
         # Keep in sync with `darglint` so the same venv is reused.
         additional_dependencies: [darglint==1.8.1, flake8-typing-imports==1.17.0]
 - repo: local

narwhals/_arrow/dataframe.py

@@ -25,7 +25,6 @@
     parse_columns_to_drop,
     scale_bytes,
     supports_arrow_c_stream,
-    zip_strict,
 )
 from narwhals.dependencies import is_numpy_array_1d
 from narwhals.exceptions import ShapeError
@@ -35,10 +34,11 @@
     from io import BytesIO
     from pathlib import Path
     from types import ModuleType
+    from typing import TypeAlias
 
     import pandas as pd
     import polars as pl
-    from typing_extensions import Self, TypeAlias, TypeIs
+    from typing_extensions import Self, TypeIs
 
     from narwhals._arrow.expr import ArrowExpr
     from narwhals._arrow.group_by import ArrowGroupBy
@@ -253,7 +253,7 @@ def rows(self, *, named: bool) -> list[tuple[Any, ...]] | list[dict[str, Any]]:
         return self.native.to_pylist()
 
     def iter_columns(self) -> Iterator[ArrowSeries]:
-        for name, series in zip_strict(self.columns, self.native.itercolumns()):
+        for name, series in zip(self.columns, self.native.itercolumns(), strict=True):
             yield ArrowSeries.from_native(series, context=self, name=name)
 
     _iter_columns = iter_columns
@@ -267,7 +267,7 @@ def iter_rows(
         if not named:
             for i in range(0, num_rows, buffer_size):
                 rows = df[i : i + buffer_size].to_pydict().values()
-                yield from zip_strict(*rows)
+                yield from zip(*rows, strict=True)
         else:
             for i in range(0, num_rows, buffer_size):
                 yield from df[i : i + buffer_size].to_pylist()
@@ -479,7 +479,7 @@ def sort(self, *by: str, descending: bool | Sequence[bool], nulls_last: bool) ->
         else:
             sorting = [
                 (key, "descending" if is_descending else "ascending")
-                for key, is_descending in zip_strict(by, descending)
+                for key, is_descending in zip(by, descending, strict=True)
             ]
 
         null_placement = "at_end" if nulls_last else "at_start"
@@ -496,7 +496,7 @@ def top_k(self, k: int, *, by: Iterable[str], reverse: bool | Sequence[bool]) ->
         else:
             sorting = [
                 (key, "ascending" if is_ascending else "descending")
-                for key, is_ascending in zip_strict(by, reverse)
+                for key, is_ascending in zip(by, reverse, strict=True)
             ]
         return self._with_native(
             self.native.take(pc.select_k_unstable(self.native, k, sorting)),  # type: ignore[call-overload]

narwhals/_arrow/expr.py

@@ -196,7 +196,7 @@ def func(df: ArrowDataFrame) -> Sequence[ArrowSeries]:  # noqa: PLR0914
 
             group_keys: list[str] = []
             encoded_cols: list[ArrowExpr] = []
-            for col_name, has_null in zip(partition_tbl.columns, has_nulls):
+            for col_name, has_null in zip(partition_tbl.columns, has_nulls, strict=False):
                 if not has_null:
                     group_keys.append(col_name)
                 else:

narwhals/_arrow/group_by.py

@@ -186,7 +186,7 @@ def agg(self, *exprs: ArrowExpr) -> ArrowDataFrame:
         new_column_names = [new_column_names[i] for i in index_map]
         result_simple = result_simple.rename_columns(new_column_names)
         return self.compliant._with_native(result_simple).rename(
-            dict(zip(self._keys, self._output_key_names))
+            dict(zip(self._keys, self._output_key_names, strict=False))
         )
 
     def __iter__(self) -> Iterator[tuple[Any, ArrowDataFrame]]:

narwhals/_arrow/series.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import TYPE_CHECKING, Any, Callable, Literal, cast, overload
+from typing import TYPE_CHECKING, Any, Literal, cast, overload
 
 import pyarrow as pa
 import pyarrow.compute as pc
@@ -37,12 +37,13 @@
 from narwhals.exceptions import InvalidOperationError, ShapeError
 
 if TYPE_CHECKING:
-    from collections.abc import Iterable, Iterator, Sequence
+    from collections.abc import Callable, Iterable, Iterator, Sequence
     from types import ModuleType
+    from typing import TypeAlias
 
     import pandas as pd
     import polars as pl
-    from typing_extensions import Self, TypeAlias, TypeIs
+    from typing_extensions import Self, TypeIs
 
     from narwhals._arrow.dataframe import ArrowDataFrame
     from narwhals._arrow.namespace import ArrowNamespace
@@ -203,7 +204,7 @@ def from_numpy(cls, data: Into1DArray, /, *, context: _LimitedContext) -> Self:
     def _align_full_broadcast(cls, *series: Self) -> Sequence[Self]:
         lengths = [len(s) for s in series]
         target_length = max(
-            length for length, s in zip(lengths, series) if not s._broadcast
+            length for length, s in zip(lengths, series, strict=False) if not s._broadcast
         )
         fast_path = all(_len == target_length for _len in lengths)
         if fast_path:

narwhals/_arrow/series_dt.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import TYPE_CHECKING, Any, Callable, ClassVar, cast
+from typing import TYPE_CHECKING, Any, ClassVar, cast
 
 import pyarrow as pa
 import pyarrow.compute as pc
@@ -22,9 +22,8 @@
 from narwhals._duration import Interval
 
 if TYPE_CHECKING:
-    from collections.abc import Mapping
-
-    from typing_extensions import TypeAlias
+    from collections.abc import Callable, Mapping
+    from typing import TypeAlias
 
     from narwhals._arrow.series import ArrowSeries
     from narwhals._arrow.typing import ChunkedArrayAny, ScalarAny

narwhals/_arrow/typing.py

@@ -7,13 +7,7 @@
 )
 
 if TYPE_CHECKING:
-    import sys
-    from typing import Generic, Literal
-
-    if sys.version_info >= (3, 10):
-        from typing import TypeAlias
-    else:
-        from typing_extensions import TypeAlias
+    from typing import Generic, Literal, TypeAlias
 
     import pyarrow as pa
     from pyarrow.__lib_pxi.table import (

narwhals/_arrow/utils.py

@@ -11,9 +11,9 @@
 
 if TYPE_CHECKING:
     from collections.abc import Iterable, Iterator, Mapping
-    from typing import Literal
+    from typing import Literal, TypeAlias
 
-    from typing_extensions import TypeAlias, TypeIs
+    from typing_extensions import TypeIs
 
     from narwhals._arrow.series import ArrowSeries
     from narwhals._arrow.typing import (

narwhals/_compliant/any_namespace.py

@@ -7,7 +7,7 @@
 from narwhals._utils import CompliantT_co, _StoresCompliant
 
 if TYPE_CHECKING:
-    from typing import Callable
+    from collections.abc import Callable
 
     from narwhals._compliant.typing import Accessor
     from narwhals.typing import NonNestedLiteral, TimeUnit

narwhals/_compliant/dataframe.py

@@ -45,11 +45,12 @@
     from io import BytesIO
     from pathlib import Path
     from types import ModuleType
+    from typing import TypeAlias
 
     import pandas as pd
     import polars as pl
     import pyarrow as pa
-    from typing_extensions import Self, TypeAlias
+    from typing_extensions import Self
 
     from narwhals._compliant.group_by import CompliantGroupBy, DataFrameGroupBy
     from narwhals._compliant.namespace import EagerNamespace
@@ -419,7 +420,11 @@ def __getitem__(  # noqa: C901, PLR0912
                 return compliant.select()
             if is_boolean_selector(columns):
                 compliant = compliant.simple_select(
-                    *(col for col, select in zip(compliant.columns, columns) if select)
+                    *(
+                        col
+                        for col, select in zip(compliant.columns, columns, strict=False)
+                        if select
+                    )
                 )
             elif is_index_selector(columns):
                 if is_slice_index(columns) or is_range(columns):