DOC: some small edits to 3.0 release notes (#63379)

Author: jorisvandenbossche

doc/source/whatsnew/v3.0.0.rst

@@ -80,8 +80,8 @@ and how to adapt your code to the new default.
 
 .. _whatsnew_300.enhancements.copy_on_write:
 
-Copy-on-Write
-^^^^^^^^^^^^^
+Consistent copy/view behaviour with Copy-on-Write
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The new "copy-on-write" behaviour in pandas 3.0 brings changes in behavior in
 how pandas operates with respect to copies and views. A summary of the changes:
@@ -101,9 +101,10 @@ copy or a view depended on the exact operation performed, which was often
 confusing).
 
 Because every single indexing step now behaves as a copy, this also means that
-"chained assignment" (updating a DataFrame with multiple setitem steps) will
-stop working. Because this now consistently never works, the
-``SettingWithCopyWarning`` is removed.
+**"chained assignment"** (updating a DataFrame with multiple setitem steps)
+**will stop working**. Because this now consistently never works, the
+``SettingWithCopyWarning`` is removed,  and defensive ``.copy()`` calls to
+silence the warning are no longer needed.
 
 The new behavioral semantics are explained in more detail in the
 :ref:`user guide about Copy-on-Write <copy_on_write>`.

web/pandas/community/blog/pandas-3.0-release-candidate.md

@@ -14,18 +14,18 @@ release candidate now](#call-to-action-test-the-release-candidate).
 
 pandas 3.0 introduces several major enhancements:
 
-- **Dedicated string data type by default**: String columns are now inferred as
+- **Dedicated string data type by default**: string columns are now inferred as
   the new `str` dtype instead of `object`, providing better performance and type
   safety
 - **Consistent copy/view behaviour with Copy-on-Write (CoW)** (a.k.a. getting
-  rid of the SettingWithCopyWarning): More predictable and consistent behavior
+  rid of the SettingWithCopyWarning): more predictable and consistent behavior
   for all operations, with improved performance through avoiding unnecessary
   copies
-- **New `pd.col` syntax**: Initial support for `pd.col()` as a simplified syntax
+- **New `pd.col` syntax**: initial support for `pd.col()` as a simplified syntax
   for creating callables in `DataFrame.assign`
 
-Together with a lot of other improvements and bug fixes. You can find the
-complete list of changes in our
+Further, pandas 3.0 includes a lot of other improvements and bug fixes. You can
+find the complete list of changes in our
 [release notes](https://pandas.pydata.org/docs/dev/whatsnew/v3.0.0.html).
 
 ## Important changes requiring code updates