diff --git a/doc/source/user_guide/enhancingperf.rst b/doc/source/user_guide/enhancingperf.rst
index 647b0f760f4d4..dbd52911674f3 100644
--- a/doc/source/user_guide/enhancingperf.rst
+++ b/doc/source/user_guide/enhancingperf.rst
@@ -81,6 +81,7 @@ Let's take a look and see where the time is spent during this operation
 using the `prun ipython magic function <https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-prun>`__:
 
 .. ipython:: python
+   :okexcept:
 
    # most time consuming 4 calls
    %prun -l 4 df.apply(lambda x: integrate_f(x["a"], x["b"], x["N"]), axis=1)  # noqa E999
@@ -163,6 +164,7 @@ the index and the series (three times for each row). These Python function calls
 can be improved by passing an ``np.ndarray``.
 
 .. ipython:: python
+   :okexcept:
 
    %prun -l 4 df.apply(lambda x: integrate_f_typed(x["a"], x["b"], x["N"]), axis=1)
 
@@ -203,6 +205,7 @@ Since ``apply_integrate_f`` is typed to accept an ``np.ndarray``, :meth:`Series.
 calls are needed to utilize this function.
 
 .. ipython:: python
+   :okexcept:
 
    %timeit apply_integrate_f(df["a"].to_numpy(), df["b"].to_numpy(), df["N"].to_numpy())
 
@@ -217,6 +220,7 @@ The majority of the time is now spent in ``apply_integrate_f``. Disabling Cython
 and ``wraparound`` checks can yield more performance.
 
 .. ipython:: python
+   :okexcept:
 
    %prun -l 4 apply_integrate_f(df["a"].to_numpy(), df["b"].to_numpy(), df["N"].to_numpy())
 
@@ -252,6 +256,7 @@ and ``wraparound`` checks can yield more performance.
       ...:
 
 .. ipython:: python
+   :okexcept:
 
    %timeit apply_integrate_f_wrap(df["a"].to_numpy(), df["b"].to_numpy(), df["N"].to_numpy())
 
diff --git a/pandas/_libs/tslibs/offsets.pyx b/pandas/_libs/tslibs/offsets.pyx
index a16964435ef50..21332324af552 100644
--- a/pandas/_libs/tslibs/offsets.pyx
+++ b/pandas/_libs/tslibs/offsets.pyx
@@ -1,3 +1,5 @@
+# cython: embedsignature=True
+
 import re
 import time
 import warnings
@@ -1177,6 +1179,11 @@ cdef class Day(Tick):
     """
     Offset ``n`` days.
 
+    Parameters
+    ----------
+    n : int
+        Number of multiples of the frequency (default 1).
+
     Attributes
     ----------
     n : int, default 1
@@ -1208,6 +1215,8 @@ cdef class Day(Tick):
     _period_dtype_code = PeriodDtypeCode.D
     _creso = NPY_DATETIMEUNIT.NPY_FR_D
 
+    def __init__(self, n=1, normalize=False):
+        super().__init__(n, normalize)
 
 cdef class Hour(Tick):
     """
@@ -5108,8 +5117,8 @@ def _warn_about_deprecated_aliases(name: str, is_period: bool) -> str:
         warnings.warn(
             f"\'{name}\' is deprecated and will be removed "
             f"in a future version, please use "
-            f"\'{c_PERIOD_AND_OFFSET_DEPR_FREQSTR.get(name)}\'"
-            f" instead.",
+            f"\'{c_PERIOD_AND_OFFSET_DEPR_FREQSTR.get(name)}\' "
+            f"instead.",
             FutureWarning,
             stacklevel=find_stack_level(),
             )
@@ -5122,8 +5131,8 @@ def _warn_about_deprecated_aliases(name: str, is_period: bool) -> str:
             warnings.warn(
                 f"\'{name}\' is deprecated and will be removed "
                 f"in a future version, please use "
-                f"\'{_name}\'"
-                f" instead.",
+                f"\'{_name}\' "
+                f"instead.",
                 FutureWarning,
                 stacklevel=find_stack_level(),
                 )