Apply suggestions from code review

Co-authored-by: Adam Turner <[email protected]>

Author: mgorny

peps/pep-0817.rst

@@ -31,7 +31,7 @@ against different dependency ABIs. This is particularly challenging for
 the scientific computing, artificial intelligence (AI), machine learning
 (ML), and high-performance computing (HPC) communities.
 
-This PEP proposes “Wheel Variants,” an extension to the
+This PEP proposes "Wheel Variants", an extension to the
 :doc:`packaging:specifications/binary-distribution-format`.  This
 extension introduces a mechanism for package maintainers to declare
 multiple build variants for the same package version, while allowing
@@ -52,8 +52,8 @@ the best user experience.
 Definitions
 ===========
 
-The key words “MUST”, “MUST NOT”, “REQUIRED”, “SHALL”, “SHALL NOT”,
-“SHOULD”, “SHOULD NOT”, “RECOMMENDED”, “MAY”, and “OPTIONAL” in this
+The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
+"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
 document are to be interpreted as described in :rfc:`2119`.
 
 
@@ -82,8 +82,8 @@ wheel of considerable size, or using separate package names
 (``mypackage-gpu``, ``mypackage-cpu``, etc.). Each of these approaches
 has significant drawbacks.
 
-According to the `2024 Python Developers
-Survey <https://lp.jetbrains.com/python-developers-survey-2024/#purposes-for-using-python>`__,
+According to the `2024 Python Developers Survey
+<https://lp.jetbrains.com/python-developers-survey-2024/#purposes-for-using-python>`__,
 a significant portion of respondents over the last years have been
 successively using Python for scientific computing purposes, covering
 such areas as Data analysis (steadily over 40% respondents), Machine
@@ -224,7 +224,7 @@ Tools need to implement special handling for the way PyTorch uses local
 version segments. These requirements break the pattern that packages
 are usually installed with. Problems with installing PyTorch
 are a very common point of user confusion. To quantify this, on
-2025-12-05, 552 out of 8136, or 6.8%, of issues on the `uv's issue
+2025-12-05, 552 out of 8136, or 6.8%, of issues on `uv's issue
 tracker <https://github.com/astral-sh/uv/issues/>`__ contained the term
 "torch".