diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 7c9ebf7d94173..1cb7b288aba69 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -74,7 +74,7 @@ repos:
     hooks:
     -   id: isort
 -   repo: https://github.com/asottile/pyupgrade
-    rev: v3.16.0
+    rev: v3.17.0
     hooks:
     -   id: pyupgrade
         args: [--py310-plus]
@@ -112,7 +112,7 @@ repos:
         types: [python]
         stages: [manual]
         additional_dependencies: &pyright_dependencies
-        - pyright@1.1.352
+        - pyright@1.1.383
     -   id: pyright
         # note: assumes python env is setup and activated
         name: pyright reportGeneralTypeIssues
diff --git a/environment.yml b/environment.yml
index 34bc0591ca8df..ab834735441f0 100644
--- a/environment.yml
+++ b/environment.yml
@@ -76,10 +76,10 @@ dependencies:
   - cxx-compiler
 
   # code checks
-  - flake8=6.1.0  # run in subprocess over docstring examples
-  - mypy=1.9.0  # pre-commit uses locally installed mypy
+  - flake8=7.1.0  # run in subprocess over docstring examples
+  - mypy=1.11.2  # pre-commit uses locally installed mypy
   - tokenize-rt  # scripts/check_for_inconsistent_pandas_namespace.py
-  - pre-commit>=3.6.0
+  - pre-commit>=4.0.1
 
   # documentation
   - gitpython  # obtain contributors from git for whatsnew
diff --git a/pandas/_config/config.py b/pandas/_config/config.py
index 4ed2d4c3be692..25760df6bd7a4 100644
--- a/pandas/_config/config.py
+++ b/pandas/_config/config.py
@@ -411,7 +411,7 @@ def __dir__(self) -> list[str]:
 
 
 @contextmanager
-def option_context(*args) -> Generator[None, None, None]:
+def option_context(*args) -> Generator[None]:
     """
     Context manager to temporarily set options in a ``with`` statement.
 
@@ -718,7 +718,7 @@ def _build_option_description(k: str) -> str:
 
 
 @contextmanager
-def config_prefix(prefix: str) -> Generator[None, None, None]:
+def config_prefix(prefix: str) -> Generator[None]:
     """
     contextmanager for multiple invocations of API with a common prefix
 
diff --git a/pandas/_config/localization.py b/pandas/_config/localization.py
index 61d88c43f0e4a..6602633f20399 100644
--- a/pandas/_config/localization.py
+++ b/pandas/_config/localization.py
@@ -25,7 +25,7 @@
 @contextmanager
 def set_locale(
     new_locale: str | tuple[str, str], lc_var: int = locale.LC_ALL
-) -> Generator[str | tuple[str, str], None, None]:
+) -> Generator[str | tuple[str, str]]:
     """
     Context manager for temporarily setting a locale.
 
diff --git a/pandas/_testing/_warnings.py b/pandas/_testing/_warnings.py
index cd2e2b4141ffd..a752c8db90f38 100644
--- a/pandas/_testing/_warnings.py
+++ b/pandas/_testing/_warnings.py
@@ -35,7 +35,7 @@ def assert_produces_warning(
     raise_on_extra_warnings: bool = True,
     match: str | tuple[str | None, ...] | None = None,
     must_find_all_warnings: bool = True,
-) -> Generator[list[warnings.WarningMessage], None, None]:
+) -> Generator[list[warnings.WarningMessage]]:
     """
     Context manager for running code expected to either raise a specific warning,
     multiple specific warnings, or not raise any warnings. Verifies that the code
diff --git a/pandas/_testing/contexts.py b/pandas/_testing/contexts.py
index 4ca67d6fc082d..99826de51e1bf 100644
--- a/pandas/_testing/contexts.py
+++ b/pandas/_testing/contexts.py
@@ -29,7 +29,7 @@
 @contextmanager
 def decompress_file(
     path: FilePath | BaseBuffer, compression: CompressionOptions
-) -> Generator[IO[bytes], None, None]:
+) -> Generator[IO[bytes]]:
     """
     Open a compressed file and return a file object.
 
@@ -50,7 +50,7 @@ def decompress_file(
 
 
 @contextmanager
-def set_timezone(tz: str) -> Generator[None, None, None]:
+def set_timezone(tz: str) -> Generator[None]:
     """
     Context manager for temporarily setting a timezone.
 
@@ -92,7 +92,7 @@ def setTZ(tz) -> None:
 
 
 @contextmanager
-def ensure_clean(filename=None) -> Generator[Any, None, None]:
+def ensure_clean(filename=None) -> Generator[Any]:
     """
     Gets a temporary path and agrees to remove on close.
 
@@ -124,7 +124,7 @@ def ensure_clean(filename=None) -> Generator[Any, None, None]:
 
 
 @contextmanager
-def with_csv_dialect(name: str, **kwargs) -> Generator[None, None, None]:
+def with_csv_dialect(name: str, **kwargs) -> Generator[None]:
     """
     Context manager to temporarily register a CSV dialect for parsing CSV.
 
diff --git a/pandas/compat/pickle_compat.py b/pandas/compat/pickle_compat.py
index 28985a1380bee..beaaa3f8ed3cc 100644
--- a/pandas/compat/pickle_compat.py
+++ b/pandas/compat/pickle_compat.py
@@ -131,7 +131,7 @@ def loads(
 
 
 @contextlib.contextmanager
-def patch_pickle() -> Generator[None, None, None]:
+def patch_pickle() -> Generator[None]:
     """
     Temporarily patch pickle to use our unpickler.
     """
diff --git a/pandas/core/apply.py b/pandas/core/apply.py
index 1f13459724d78..af2d6243ce4ed 100644
--- a/pandas/core/apply.py
+++ b/pandas/core/apply.py
@@ -246,12 +246,8 @@ def transform(self) -> DataFrame | Series:
             and not obj.empty
         ):
             raise ValueError("Transform function failed")
-        # error: Argument 1 to "__get__" of "AxisProperty" has incompatible type
-        # "Union[Series, DataFrame, GroupBy[Any], SeriesGroupBy,
-        # DataFrameGroupBy, BaseWindow, Resampler]"; expected "Union[DataFrame,
-        # Series]"
         if not isinstance(result, (ABCSeries, ABCDataFrame)) or not result.index.equals(
-            obj.index  # type: ignore[arg-type]
+            obj.index
         ):
             raise ValueError("Function did not transform")
 
@@ -803,7 +799,7 @@ def result_columns(self) -> Index:
 
     @property
     @abc.abstractmethod
-    def series_generator(self) -> Generator[Series, None, None]:
+    def series_generator(self) -> Generator[Series]:
         pass
 
     @staticmethod
@@ -1128,7 +1124,7 @@ class FrameRowApply(FrameApply):
     axis: AxisInt = 0
 
     @property
-    def series_generator(self) -> Generator[Series, None, None]:
+    def series_generator(self) -> Generator[Series]:
         return (self.obj._ixs(i, axis=1) for i in range(len(self.columns)))
 
     @staticmethod
@@ -1235,7 +1231,7 @@ def apply_broadcast(self, target: DataFrame) -> DataFrame:
         return result.T
 
     @property
-    def series_generator(self) -> Generator[Series, None, None]:
+    def series_generator(self) -> Generator[Series]:
         values = self.values
         values = ensure_wrapped_if_datetimelike(values)
         assert len(values) > 0
diff --git a/pandas/core/arraylike.py b/pandas/core/arraylike.py
index f70bb0743aa0f..43ac69508d1a4 100644
--- a/pandas/core/arraylike.py
+++ b/pandas/core/arraylike.py
@@ -403,12 +403,12 @@ def _reconstruct(result):
             # for np.<ufunc>(..) calls
             # kwargs cannot necessarily be handled block-by-block, so only
             # take this path if there are no kwargs
-            mgr = inputs[0]._mgr
+            mgr = inputs[0]._mgr  # pyright: ignore[reportGeneralTypeIssues]
             result = mgr.apply(getattr(ufunc, method))
         else:
             # otherwise specific ufunc methods (eg np.<ufunc>.accumulate(..))
             # Those can have an axis keyword and thus can't be called block-by-block
-            result = default_array_ufunc(inputs[0], ufunc, method, *inputs, **kwargs)
+            result = default_array_ufunc(inputs[0], ufunc, method, *inputs, **kwargs)  # pyright: ignore[reportGeneralTypeIssues]
             # e.g. np.negative (only one reached), with "where" and "out" in kwargs
 
     result = reconstruct(result)
diff --git a/pandas/core/arrays/arrow/array.py b/pandas/core/arrays/arrow/array.py
index 00d46ab9296d0..c6fb5225d58f9 100644
--- a/pandas/core/arrays/arrow/array.py
+++ b/pandas/core/arrays/arrow/array.py
@@ -2426,7 +2426,7 @@ def _str_rindex(self, sub: str, start: int = 0, end: int | None = None) -> Self:
         result = self._apply_elementwise(predicate)
         return type(self)(pa.chunked_array(result))
 
-    def _str_normalize(self, form: str) -> Self:
+    def _str_normalize(self, form: Literal["NFC", "NFD", "NFKC", "NFKD"]) -> Self:
         predicate = lambda val: unicodedata.normalize(form, val)
         result = self._apply_elementwise(predicate)
         return type(self)(pa.chunked_array(result))
diff --git a/pandas/core/arrays/boolean.py b/pandas/core/arrays/boolean.py
index 53ebc35b68d14..87c18fe346c62 100644
--- a/pandas/core/arrays/boolean.py
+++ b/pandas/core/arrays/boolean.py
@@ -369,7 +369,7 @@ def _coerce_to_array(
             assert dtype == "boolean"
         return coerce_to_array(value, copy=copy)
 
-    def _logical_method(self, other, op):
+    def _logical_method(self, other, op):  # type: ignore[override]
         assert op.__name__ in {"or_", "ror_", "and_", "rand_", "xor", "rxor"}
         other_is_scalar = lib.is_scalar(other)
         mask = None
diff --git a/pandas/core/arrays/datetimes.py b/pandas/core/arrays/datetimes.py
index 41128e52e31b3..43cc492f82885 100644
--- a/pandas/core/arrays/datetimes.py
+++ b/pandas/core/arrays/datetimes.py
@@ -2918,7 +2918,7 @@ def _generate_range(
     offset: BaseOffset,
     *,
     unit: str,
-) -> Generator[Timestamp, None, None]:
+) -> Generator[Timestamp]:
     """
     Generates a sequence of dates corresponding to the specified time
     offset. Similar to dateutil.rrule except uses pandas DateOffset
diff --git a/pandas/core/common.py b/pandas/core/common.py
index ec0473a20458b..9788ec972ba1b 100644
--- a/pandas/core/common.py
+++ b/pandas/core/common.py
@@ -560,9 +560,7 @@ def convert_to_list_like(
 
 
 @contextlib.contextmanager
-def temp_setattr(
-    obj, attr: str, value, condition: bool = True
-) -> Generator[None, None, None]:
+def temp_setattr(obj, attr: str, value, condition: bool = True) -> Generator[None]:
     """
     Temporarily set attribute on an object.
 
diff --git a/pandas/core/computation/expr.py b/pandas/core/computation/expr.py
index f45bc453d2541..7025d8a72e561 100644
--- a/pandas/core/computation/expr.py
+++ b/pandas/core/computation/expr.py
@@ -168,7 +168,7 @@ def _preparse(
     the ``tokenize`` module and ``tokval`` is a string.
     """
     assert callable(f), "f must be callable"
-    return tokenize.untokenize(f(x) for x in tokenize_string(source))
+    return tokenize.untokenize(f(x) for x in tokenize_string(source))  # pyright: ignore[reportArgumentType]
 
 
 def _is_type(t):
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 1b47002e72fc6..24a164aa15427 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -2306,7 +2306,7 @@ def maybe_reorder(
 
         if any(exclude):
             arr_exclude = (x for x in exclude if x in arr_columns)
-            to_remove = {arr_columns.get_loc(col) for col in arr_exclude}
+            to_remove = {arr_columns.get_loc(col) for col in arr_exclude}  # pyright: ignore[reportUnhashable]
             arrays = [v for i, v in enumerate(arrays) if i not in to_remove]
 
             columns = columns.drop(exclude)
diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index 68314567d1b5e..5bf3e0e4de2fb 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -3719,7 +3719,7 @@ def blk_func(values: ArrayLike) -> ArrayLike:
             mask = isna(values)
             if values.ndim == 1:
                 indexer = np.empty(values.shape, dtype=np.intp)
-                col_func(out=indexer, mask=mask)
+                col_func(out=indexer, mask=mask)  # type: ignore[arg-type]
                 return algorithms.take_nd(values, indexer)
 
             else:
@@ -4081,7 +4081,9 @@ def _nth(
     def quantile(
         self,
         q: float | AnyArrayLike = 0.5,
-        interpolation: str = "linear",
+        interpolation: Literal[
+            "linear", "lower", "higher", "nearest", "midpoint"
+        ] = "linear",
         numeric_only: bool = False,
     ):
         """
@@ -4270,7 +4272,7 @@ def blk_func(values: ArrayLike) -> ArrayLike:
                 func(
                     out[0],
                     values=vals,
-                    mask=mask,
+                    mask=mask,  # type: ignore[arg-type]
                     result_mask=result_mask,
                     is_datetimelike=is_datetimelike,
                 )
diff --git a/pandas/core/groupby/ops.py b/pandas/core/groupby/ops.py
index b32119a2ddbde..4c7fe604e452d 100644
--- a/pandas/core/groupby/ops.py
+++ b/pandas/core/groupby/ops.py
@@ -898,7 +898,7 @@ def _unob_index_and_ids(
         return unob_index, unob_ids
 
     @final
-    def get_group_levels(self) -> Generator[Index, None, None]:
+    def get_group_levels(self) -> Generator[Index]:
         # Note: only called from _insert_inaxis_grouper, which
         #  is only called for BaseGrouper, never for BinGrouper
         result_index = self.result_index
diff --git a/pandas/core/indexes/interval.py b/pandas/core/indexes/interval.py
index 8feac890883eb..94717141b30b0 100644
--- a/pandas/core/indexes/interval.py
+++ b/pandas/core/indexes/interval.py
@@ -991,7 +991,7 @@ def length(self) -> Index:
     # --------------------------------------------------------------------
     # Set Operations
 
-    def _intersection(self, other, sort):
+    def _intersection(self, other, sort: bool = False):
         """
         intersection specialized to the case with matching dtypes.
         """
@@ -1006,7 +1006,7 @@ def _intersection(self, other, sort):
             # duplicates
             taken = self._intersection_non_unique(other)
 
-        if sort is None:
+        if sort:
             taken = taken.sort_values()
 
         return taken
diff --git a/pandas/core/indexes/multi.py b/pandas/core/indexes/multi.py
index 9eccb7645fbe7..ae9b272af9fe9 100644
--- a/pandas/core/indexes/multi.py
+++ b/pandas/core/indexes/multi.py
@@ -2664,7 +2664,7 @@ def _reorder_ilevels(self, order) -> MultiIndex:
 
     def _recode_for_new_levels(
         self, new_levels, copy: bool = True
-    ) -> Generator[np.ndarray, None, None]:
+    ) -> Generator[np.ndarray]:
         if len(new_levels) > self.nlevels:
             raise AssertionError(
                 f"Length of new_levels ({len(new_levels)}) "
diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index cb40e920149fa..a3ff577966a6d 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -388,7 +388,7 @@ def _split_op_result(self, result: ArrayLike) -> list[Block]:
         return [nb]
 
     @final
-    def _split(self) -> Generator[Block, None, None]:
+    def _split(self) -> Generator[Block]:
         """
         Split a block into a list of single-column blocks.
         """
diff --git a/pandas/core/internals/concat.py b/pandas/core/internals/concat.py
index b96d5a59effce..2ee7d3948a70f 100644
--- a/pandas/core/internals/concat.py
+++ b/pandas/core/internals/concat.py
@@ -250,7 +250,7 @@ def _concat_homogeneous_fastpath(
 
 def _get_combined_plan(
     mgrs: list[BlockManager],
-) -> Generator[tuple[BlockPlacement, list[JoinUnit]], None, None]:
+) -> Generator[tuple[BlockPlacement, list[JoinUnit]]]:
     max_len = mgrs[0].shape[0]
 
     blknos_list = [mgr.blknos for mgr in mgrs]
diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index aa4a785519051..a3738bb25f56c 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -856,7 +856,7 @@ def _slice_take_blocks_ax0(
         *,
         use_na_proxy: bool = False,
         ref_inplace_op: bool = False,
-    ) -> Generator[Block, None, None]:
+    ) -> Generator[Block]:
         """
         Slice/take blocks along axis=0.
 
@@ -1731,7 +1731,7 @@ def unstack(self, unstacker, fill_value) -> BlockManager:
         bm = BlockManager(new_blocks, [new_columns, new_index], verify_integrity=False)
         return bm
 
-    def to_iter_dict(self) -> Generator[tuple[str, Self], None, None]:
+    def to_iter_dict(self) -> Generator[tuple[str, Self]]:
         """
         Yield a tuple of (str(dtype), BlockManager)
 
diff --git a/pandas/core/methods/to_dict.py b/pandas/core/methods/to_dict.py
index 84202a4fcc840..aea95e4684573 100644
--- a/pandas/core/methods/to_dict.py
+++ b/pandas/core/methods/to_dict.py
@@ -33,7 +33,7 @@
 
 def create_data_for_split(
     df: DataFrame, are_all_object_dtype_cols: bool, object_dtype_indices: list[int]
-) -> Generator[list, None, None]:
+) -> Generator[list]:
     """
     Simple helper method to create data for to ``to_dict(orient="split")``
     to create the main output data
diff --git a/pandas/core/resample.py b/pandas/core/resample.py
index 711396096a5e3..42fed83398737 100644
--- a/pandas/core/resample.py
+++ b/pandas/core/resample.py
@@ -404,7 +404,7 @@ def transform(self, arg, *args, **kwargs):
             arg, *args, **kwargs
         )
 
-    def _downsample(self, f, **kwargs):
+    def _downsample(self, how, **kwargs):
         raise AbstractMethodError(self)
 
     def _upsample(self, f, limit: int | None = None, fill_value=None):
diff --git a/pandas/core/series.py b/pandas/core/series.py
index bbcb6615aeefd..fe2bb0b5aa5c3 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -813,8 +813,7 @@ def _values(self):
     def _references(self) -> BlockValuesRefs:
         return self._mgr._block.refs
 
-    # error: Decorated property not supported
-    @Appender(base.IndexOpsMixin.array.__doc__)  # type: ignore[misc]
+    @Appender(base.IndexOpsMixin.array.__doc__)  # type: ignore[prop-decorator]
     @property
     def array(self) -> ExtensionArray:
         return self._mgr.array_values()
diff --git a/pandas/core/tools/datetimes.py b/pandas/core/tools/datetimes.py
index 86c7316320f44..4680a63bf57a1 100644
--- a/pandas/core/tools/datetimes.py
+++ b/pandas/core/tools/datetimes.py
@@ -1000,7 +1000,7 @@ def to_datetime(
         dayfirst=dayfirst,
         yearfirst=yearfirst,
         errors=errors,
-        exact=exact,
+        exact=exact,  # type: ignore[arg-type]
     )
     result: Timestamp | NaTType | Series | Index
 
diff --git a/pandas/core/window/rolling.py b/pandas/core/window/rolling.py
index 9ea825ad4e44d..cf74cc30f3c5d 100644
--- a/pandas/core/window/rolling.py
+++ b/pandas/core/window/rolling.py
@@ -1507,7 +1507,7 @@ def _generate_cython_apply_func(
             window_aggregations.roll_apply,
             args=args,
             kwargs=kwargs,
-            raw=raw,
+            raw=bool(raw),
             function=function,
         )
 
diff --git a/pandas/io/excel/_odswriter.py b/pandas/io/excel/_odswriter.py
index 0ddb59d3413ff..10a06aec72a57 100644
--- a/pandas/io/excel/_odswriter.py
+++ b/pandas/io/excel/_odswriter.py
@@ -34,7 +34,7 @@ class ODSWriter(ExcelWriter):
     _engine = "odf"
     _supported_extensions = (".ods",)
 
-    def __init__(
+    def __init__(  # pyright: ignore[reportInconsistentConstructor]
         self,
         path: FilePath | WriteExcelBuffer | ExcelWriter,
         engine: str | None = None,
diff --git a/pandas/io/excel/_openpyxl.py b/pandas/io/excel/_openpyxl.py
index 218a592c22b4a..3055c68a93cbc 100644
--- a/pandas/io/excel/_openpyxl.py
+++ b/pandas/io/excel/_openpyxl.py
@@ -42,7 +42,7 @@ class OpenpyxlWriter(ExcelWriter):
     _engine = "openpyxl"
     _supported_extensions = (".xlsx", ".xlsm")
 
-    def __init__(
+    def __init__(  # pyright: ignore[reportInconsistentConstructor]
         self,
         path: FilePath | WriteExcelBuffer | ExcelWriter,
         engine: str | None = None,
diff --git a/pandas/io/excel/_xlsxwriter.py b/pandas/io/excel/_xlsxwriter.py
index b2fd24a670300..4a7b8eee2bfce 100644
--- a/pandas/io/excel/_xlsxwriter.py
+++ b/pandas/io/excel/_xlsxwriter.py
@@ -181,7 +181,7 @@ class XlsxWriter(ExcelWriter):
     _engine = "xlsxwriter"
     _supported_extensions = (".xlsx",)
 
-    def __init__(
+    def __init__(  # pyright: ignore[reportInconsistentConstructor]
         self,
         path: FilePath | WriteExcelBuffer | ExcelWriter,
         engine: str | None = None,
diff --git a/pandas/io/formats/css.py b/pandas/io/formats/css.py
index 0af04526ea96d..10c970887e03b 100644
--- a/pandas/io/formats/css.py
+++ b/pandas/io/formats/css.py
@@ -34,9 +34,7 @@ def _side_expander(prop_fmt: str) -> Callable:
         function: Return to call when a 'border(-{side}): {value}' string is encountered
     """
 
-    def expand(
-        self: CSSResolver, prop: str, value: str
-    ) -> Generator[tuple[str, str], None, None]:
+    def expand(self: CSSResolver, prop: str, value: str) -> Generator[tuple[str, str]]:
         """
         Expand shorthand property into side-specific property (top, right, bottom, left)
 
@@ -81,9 +79,7 @@ def _border_expander(side: str = "") -> Callable:
     if side != "":
         side = f"-{side}"
 
-    def expand(
-        self: CSSResolver, prop: str, value: str
-    ) -> Generator[tuple[str, str], None, None]:
+    def expand(self: CSSResolver, prop: str, value: str) -> Generator[tuple[str, str]]:
         """
         Expand border into color, style, and width tuples
 
@@ -392,7 +388,7 @@ def _error() -> str:
             size_fmt = f"{val:f}pt"
         return size_fmt
 
-    def atomize(self, declarations: Iterable) -> Generator[tuple[str, str], None, None]:
+    def atomize(self, declarations: Iterable) -> Generator[tuple[str, str]]:
         for prop, value in declarations:
             prop = prop.lower()
             value = value.lower()
diff --git a/pandas/io/formats/format.py b/pandas/io/formats/format.py
index 9ad5ac83e9eae..5aecc6af712e5 100644
--- a/pandas/io/formats/format.py
+++ b/pandas/io/formats/format.py
@@ -1024,7 +1024,7 @@ def save_to_buffer(
 @contextmanager
 def _get_buffer(
     buf: FilePath | WriteBuffer[str] | None, encoding: str | None = None
-) -> Generator[WriteBuffer[str], None, None] | Generator[StringIO, None, None]:
+) -> Generator[WriteBuffer[str]] | Generator[StringIO]:
     """
     Context manager to open, yield and close buffer for filenames or Path-like
     objects, otherwise yield buf unchanged.
diff --git a/pandas/io/parsers/python_parser.py b/pandas/io/parsers/python_parser.py
index 3a2a1c37f1879..99d584db61755 100644
--- a/pandas/io/parsers/python_parser.py
+++ b/pandas/io/parsers/python_parser.py
@@ -1203,7 +1203,7 @@ def _rows_to_cols(self, content: list[list[Scalar]]) -> list[np.ndarray]:
                     if callable(self.on_bad_lines):
                         new_l = self.on_bad_lines(_content)
                         if new_l is not None:
-                            content.append(new_l)
+                            content.append(new_l)  # pyright: ignore[reportArgumentType]
                     elif self.on_bad_lines in (
                         self.BadLineHandleMethod.ERROR,
                         self.BadLineHandleMethod.WARN,
diff --git a/pandas/io/sas/sas7bdat.py b/pandas/io/sas/sas7bdat.py
index 25257d5fcc192..c5aab4d967cd4 100644
--- a/pandas/io/sas/sas7bdat.py
+++ b/pandas/io/sas/sas7bdat.py
@@ -516,7 +516,7 @@ def _process_columntext_subheader(self, offset: int, length: int) -> None:
                 buf = self._read_bytes(offset1, self._lcs)
                 self.creator_proc = buf[0 : self._lcp]
             if hasattr(self, "creator_proc"):
-                self.creator_proc = self._convert_header_text(self.creator_proc)
+                self.creator_proc = self._convert_header_text(self.creator_proc)  # pyright: ignore[reportArgumentType]
 
     def _process_columnname_subheader(self, offset: int, length: int) -> None:
         int_len = self._int_length
diff --git a/pandas/io/sql.py b/pandas/io/sql.py
index 99dd06568fa01..9aff5600cf49b 100644
--- a/pandas/io/sql.py
+++ b/pandas/io/sql.py
@@ -233,7 +233,7 @@ def _wrap_result_adbc(
 
 
 @overload
-def read_sql_table(
+def read_sql_table(  # pyright: ignore[reportOverlappingOverload]
     table_name: str,
     con,
     schema=...,
@@ -364,7 +364,7 @@ def read_sql_table(
 
 
 @overload
-def read_sql_query(
+def read_sql_query(  # pyright: ignore[reportOverlappingOverload]
     sql,
     con,
     index_col: str | list[str] | None = ...,
@@ -500,7 +500,7 @@ def read_sql_query(
 
 
 @overload
-def read_sql(
+def read_sql(  # pyright: ignore[reportOverlappingOverload]
     sql,
     con,
     index_col: str | list[str] | None = ...,
@@ -1119,7 +1119,7 @@ def _query_iterator(
         coerce_float: bool = True,
         parse_dates=None,
         dtype_backend: DtypeBackend | Literal["numpy"] = "numpy",
-    ) -> Generator[DataFrame, None, None]:
+    ) -> Generator[DataFrame]:
         """Return generator through chunked result set."""
         has_read_data = False
         with exit_stack:
@@ -1732,7 +1732,7 @@ def _query_iterator(
         parse_dates=None,
         dtype: DtypeArg | None = None,
         dtype_backend: DtypeBackend | Literal["numpy"] = "numpy",
-    ) -> Generator[DataFrame, None, None]:
+    ) -> Generator[DataFrame]:
         """Return generator through chunked result set"""
         has_read_data = False
         with exit_stack:
@@ -2682,7 +2682,7 @@ def _query_iterator(
         parse_dates=None,
         dtype: DtypeArg | None = None,
         dtype_backend: DtypeBackend | Literal["numpy"] = "numpy",
-    ) -> Generator[DataFrame, None, None]:
+    ) -> Generator[DataFrame]:
         """Return generator through chunked result set"""
         has_read_data = False
         while True:
diff --git a/pandas/plotting/_matplotlib/converter.py b/pandas/plotting/_matplotlib/converter.py
index fc63d65f1e160..4c00049075d03 100644
--- a/pandas/plotting/_matplotlib/converter.py
+++ b/pandas/plotting/_matplotlib/converter.py
@@ -92,7 +92,7 @@ def wrapper(*args, **kwargs):
 
 
 @contextlib.contextmanager
-def pandas_converters() -> Generator[None, None, None]:
+def pandas_converters() -> Generator[None]:
     """
     Context manager registering pandas' converters for a plot.
 
@@ -527,7 +527,7 @@ def _get_periods_per_ymd(freq: BaseOffset) -> tuple[int, int, int]:
 
     ppd = -1  # placeholder for above-day freqs
 
-    if dtype_code >= FreqGroup.FR_HR.value:
+    if dtype_code >= FreqGroup.FR_HR.value:  # pyright: ignore[reportAttributeAccessIssue]
         # error: "BaseOffset" has no attribute "_creso"
         ppd = periods_per_day(freq._creso)  # type: ignore[attr-defined]
         ppm = 28 * ppd
@@ -684,7 +684,7 @@ def _second_finder(label_interval: int) -> None:
     elif span <= periodsperyear // 4:
         month_start = _period_break(dates_, "month")
         info_maj[month_start] = True
-        if dtype_code < FreqGroup.FR_HR.value:
+        if dtype_code < FreqGroup.FR_HR.value:  # pyright: ignore[reportAttributeAccessIssue]
             info["min"] = True
         else:
             day_start = _period_break(dates_, "day")
@@ -910,7 +910,7 @@ def get_finder(freq: BaseOffset):
         return _quarterly_finder
     elif fgroup == FreqGroup.FR_MTH:
         return _monthly_finder
-    elif (dtype_code >= FreqGroup.FR_BUS.value) or fgroup == FreqGroup.FR_WK:
+    elif (dtype_code >= FreqGroup.FR_BUS.value) or fgroup == FreqGroup.FR_WK:  # pyright: ignore[reportAttributeAccessIssue]
         return _daily_finder
     else:  # pragma: no cover
         raise NotImplementedError(f"Unsupported frequency: {dtype_code}")
diff --git a/pandas/plotting/_matplotlib/tools.py b/pandas/plotting/_matplotlib/tools.py
index f9c370b2486fd..d5624aecd1215 100644
--- a/pandas/plotting/_matplotlib/tools.py
+++ b/pandas/plotting/_matplotlib/tools.py
@@ -442,7 +442,7 @@ def handle_shared_axes(
                     _remove_labels_from_axis(ax.yaxis)
 
 
-def flatten_axes(axes: Axes | Iterable[Axes]) -> Generator[Axes, None, None]:
+def flatten_axes(axes: Axes | Iterable[Axes]) -> Generator[Axes]:
     if not is_list_like(axes):
         yield axes  # type: ignore[misc]
     elif isinstance(axes, (np.ndarray, ABCIndex)):
diff --git a/pandas/plotting/_misc.py b/pandas/plotting/_misc.py
index 81940613dd2b0..7face74dcbc89 100644
--- a/pandas/plotting/_misc.py
+++ b/pandas/plotting/_misc.py
@@ -715,7 +715,7 @@ def _get_canonical_key(self, key: str) -> str:
         return self._ALIASES.get(key, key)
 
     @contextmanager
-    def use(self, key, value) -> Generator[_Options, None, None]:
+    def use(self, key, value) -> Generator[_Options]:
         """
         Temporarily set a parameter value using the with statement.
         Aliasing allowed.
diff --git a/pandas/tests/frame/test_ufunc.py b/pandas/tests/frame/test_ufunc.py
index 95b315c32dca5..092e65dd4b431 100644
--- a/pandas/tests/frame/test_ufunc.py
+++ b/pandas/tests/frame/test_ufunc.py
@@ -66,14 +66,14 @@ def test_binary_input_dispatch_binop(dtype):
     [
         (np.add, 1, [2, 3, 4, 5]),
         (
-            partial(np.add, where=[[False, True], [True, False]]),
+            partial(np.add, where=[[False, True], [True, False]]),  # type: ignore[misc]
             np.array([[1, 1], [1, 1]]),
             [0, 3, 4, 0],
         ),
         (np.power, np.array([[1, 1], [2, 2]]), [1, 2, 9, 16]),
         (np.subtract, 2, [-1, 0, 1, 2]),
         (
-            partial(np.negative, where=np.array([[False, True], [True, False]])),
+            partial(np.negative, where=np.array([[False, True], [True, False]])),  # type: ignore[misc]
             None,
             [0, -2, -3, 0],
         ),
diff --git a/pandas/tests/indexes/test_base.py b/pandas/tests/indexes/test_base.py
index 2b62b384930d6..19b46d9b2c15f 100644
--- a/pandas/tests/indexes/test_base.py
+++ b/pandas/tests/indexes/test_base.py
@@ -1635,7 +1635,7 @@ def test_generated_op_names(opname, index):
         partial(DatetimeIndex, data=["2020-01-01"]),
         partial(PeriodIndex, data=["2020-01-01"]),
         partial(TimedeltaIndex, data=["1 day"]),
-        partial(RangeIndex, data=range(1)),
+        partial(RangeIndex, start=range(1)),
         partial(IntervalIndex, data=[pd.Interval(0, 1)]),
         partial(Index, data=["a"], dtype=object),
         partial(MultiIndex, levels=[1], codes=[0]),
diff --git a/pandas/util/_exceptions.py b/pandas/util/_exceptions.py
index 5f50838d37315..b3c8e54d3ca7f 100644
--- a/pandas/util/_exceptions.py
+++ b/pandas/util/_exceptions.py
@@ -4,7 +4,10 @@
 import inspect
 import os
 import re
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+    Any,
+)
 import warnings
 
 if TYPE_CHECKING:
@@ -13,7 +16,7 @@
 
 
 @contextlib.contextmanager
-def rewrite_exception(old_name: str, new_name: str) -> Generator[None, None, None]:
+def rewrite_exception(old_name: str, new_name: str) -> Generator[None]:
     """
     Rewrite the message of an exception.
     """
@@ -24,7 +27,7 @@ def rewrite_exception(old_name: str, new_name: str) -> Generator[None, None, Non
             raise
         msg = str(err.args[0])
         msg = msg.replace(old_name, new_name)
-        args: tuple[str, ...] = (msg,)
+        args: tuple[Any, ...] = (msg,)
         if len(err.args) > 1:
             args = args + err.args[1:]
         err.args = args
@@ -66,7 +69,7 @@ def rewrite_warning(
     target_category: type[Warning],
     new_message: str,
     new_category: type[Warning] | None = None,
-) -> Generator[None, None, None]:
+) -> Generator[None]:
     """
     Rewrite the message of a warning.
 
diff --git a/requirements-dev.txt b/requirements-dev.txt
index 52d2553fc4001..1bf42af6bf2cd 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -53,10 +53,10 @@ seaborn
 moto
 flask
 asv>=0.6.1
-flake8==6.1.0
-mypy==1.9.0
+flake8==7.1.0
+mypy==1.11.2
 tokenize-rt
-pre-commit>=3.6.0
+pre-commit>=4.0.1
 gitpython
 gitdb
 google-auth