Typos

Author: datapythonista

pandas/core/apply.py

@@ -122,7 +122,7 @@ def map(
             executor may already know which is the decorator to use, this
             is useful as for a single executor the user can specify for
             example ``numba.jit`` or ``numba.njit(nogil=True)``, and this
-            decorator parameter will contain the exact decortor from the
+            decorator parameter will contain the exact decorator from the
             executor the user wants to use.
         skip_na : bool
             Whether the function should be called for missing values or not.
@@ -165,7 +165,7 @@ def apply(
             executor may already know which is the decorator to use, this
             is useful as for a single executor the user can specify for
             example ``numba.jit`` or ``numba.njit(nogil=True)``, and this
-            decorator parameter will contain the exact decortor from the
+            decorator parameter will contain the exact decorator from the
             executor the user wants to use.
         axis : {0 or 'index', 1 or 'columns'}
             0 or 'index' should execute the function passing each column as

pandas/core/frame.py

@@ -10447,7 +10447,7 @@ def apply(
         type during the execution).
 
         >>> import bodo
-        >>> df.apply(lambda x: x.A + x.B, axis=1, engine=bodo.jit(parallel=True))
+        >>> df.apply(lambda x: x.A + x.B, axis=1, engine=bodo.jit)
 
         Note that JIT compilation is only recommended for functions that take a
         significant amount of time to run. Fast functions are unlikely to run faster