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Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

Author: rickeylev

docs/howto/multi-platform-pypi-deps.md

@@ -35,7 +35,7 @@ arbitrary name with a list of Bazel {obj}`config_setting` targets. Any name can
 be used for a platform (it's name has no inherent semantic meaning), however,
 the name should encode all the relevant dimensions that distinguish a
 requirements file. For example, if a requirements file is specifically for the
-combination of CUDA 12.9 and NumPY 2.0, then platform name should represent
+combination of CUDA 12.9 and NumPy 2.0, then platform name should represent
 that.
 
 The convention is to follow the format of `{os}_{cpu}{threading}`, where:
@@ -89,15 +89,15 @@ contains commonly used settings for OS and CPU:
 Note that these are the raw flag names. In order to use them with `pip.default`,
 you must use {obj}`config_setting()` to match a particular value for them.
 
-### Associating requirements to plaforms
+### Associating requirements to platforms
 
 Next, we associate a requirements file with a platform using
 {obj}`pip.parse.requirements_by_platform`. This is a dictionary arg where
 keys are requirements files, and the value is a platform name. The platform
 value can use trailing or leading `*` to match multiple platforms. It can also
 specify multiple platform names using commas to separate them.
 
-Note that Python version is _not_ part
+Note that Python version is _not_ part of the platform name.
 
 Under the hood, `pip.parse` merges all the requirements (for a `hub_name`) and
 constructs `select()` expressions to route to the appropriate dependencies.
@@ -116,15 +116,15 @@ bazel build --@rules_python//python/config_settings:py_linux_libc=musl \
   --cpu=aarch64 //:binary
 
 # Build for freethreaded
-bazel build --@rule_python//python/config_settings:py_freethreaded=yes //:binary
+bazel build --@rules_python//python/config_settings:py_freethreaded=yes //:binary
 ```
 
 Note that certain combinations of flags may result in an error or undefined
 behavior. For example, trying to set both freethreaded and CUDA at the same
 time would result in an error because no requirements file was registered
 to match that combination.
 
-## Multiple Python version
+## Multiple Python versions
 
 Having multiple Python versions is fully supported. Simply add a `pip.parse()`
 call and set `python_version` appropriately.