Cherry-pick release v1.21.1 note back to main (#2232)

<!---
Please answer these questions before creating your pull request. Thanks!
--->

1. Which Jira issue is this PR addressing? Make sure that there is an
accompanying issue to your PR.

   <!---
   In this section, please add a Snowflake Jira issue number.
   
Note that if a corresponding GitHub issue exists, you should still
include
   the Snowflake Jira issue number. For example, for GitHub issue
#1400, you should
   add "SNOW-1335071" here.
    --->

   Fixes SNOW-NNNNNNN

2. Fill out the following pre-review checklist:

- [ ] I am adding a new automated test(s) to verify correctness of my
new code
- [ ] If this test skips Local Testing mode, I'm requesting review from
@snowflakedb/local-testing
   - [ ] I am adding new logging messages
   - [ ] I am adding a new telemetry message
   - [ ] I am adding new credentials
   - [ ] I am adding a new dependency
- [ ] If this is a new feature/behavior, I'm adding the Local Testing
parity changes.

3. Please describe how your code solves the related issue.

Please write a short description of how your code change solves the
related issue.

CHANGELOG.md

@@ -48,7 +48,6 @@
 - Fixed a bug in `session.get_session_stage` that referenced a non-existing stage after switching database or schema.
 - Fixed a bug where calling `DataFrame.to_snowpark_pandas_dataframe` without explicitly initializing the Snowpark pandas plugin caused an error.
 - Fixed a bug where using the `explode` function in dynamic table creation caused a SQL compilation error due to improper boolean type casting on the `outer` parameter.
-- Fixed a bug where using `to_pandas_batches` with async jobs caused an error due to improper handling of waiting for asynchronous query completion.
 
 ### Snowpark Local Testing Updates
 
@@ -132,6 +131,14 @@
 - When calling `DataFrame.set_index`, or setting `DataFrame.index` or `Series.index`, with a new index that does not match the current length of the `Series`/`DataFrame` object, a `ValueError` is no longer raised. When the `Series`/`DataFrame` object is longer than the new index, the `Series`/`DataFrame`'s new index is filled with `NaN` values for the "extra" elements. When the `Series`/`DataFrame` object is shorter than the new index, the extra values in the new index are ignored—`Series` and `DataFrame` stay the same length `n`, and use only the first `n` values of the new index.
 
 
+## 1.21.1 (2024-09-05)
+
+### Snowpark Python API Updates
+
+#### Bug Fixes
+
+- Fixed a bug where using `to_pandas_batches` with async jobs caused an error due to improper handling of waiting for asynchronous query completion.
+
 ## 1.21.0 (2024-08-19)
 
 ### Snowpark Python API Updates

recipe/meta.yaml

@@ -1,5 +1,5 @@
 {% set name = "snowflake-snowpark-python" %}
-{% set version = "1.21.0" %}
+{% set version = "1.21.1" %}
 
 package:
   name: {{ name|lower }}

src/snowflake/snowpark/version.py

@@ -4,4 +4,4 @@
 #
 
 # Update this for the versions
-VERSION = (1, 21, 0)
+VERSION = (1, 21, 1)