[flink-statefun] 02/03: [hotfix] Let Python README.md point to Statefun playground

[trohrmann]

This is an automated email from the ASF dual-hosted git repository.

trohrmann pushed a commit to branch release-3.2
in repository https://gitbox.apache.org/repos/asf/flink-statefun.git

commit 231ec1ac45b2562c12ded19aad4a8bf29c256ba2
Author: Till Rohrmann <trohrm...@apache.org>
AuthorDate: Thu Feb 10 18:13:23 2022 +0100

    [hotfix] Let Python README.md point to Statefun playground
---
 statefun-sdk-python/README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/statefun-sdk-python/README.md b/statefun-sdk-python/README.md
index 286060a..4856ed3 100755
--- a/statefun-sdk-python/README.md
+++ b/statefun-sdk-python/README.md
@@ -2,11 +2,11 @@
 
 Stateful Functions is an API that simplifies the building of **distributed 
stateful applications** with a **runtime built for serverless architectures**.
 It brings together the benefits of stateful stream processing - the processing 
of large datasets with low latency and bounded resource constraints -
-along with a runtime for modeling stateful entities that supports location 
transparency, concurrency, scaling, and resiliency. 
+along with a runtime for modeling stateful entities that supports location 
transparency, concurrency, scaling, and resiliency.
 
 <img alt="Stateful Functions Architecture" width="80%" 
src="https://github.com/apache/flink-statefun/blob/master/docs/fig/concepts/arch_overview.svg";>
 
-It is designed to work with modern architectures, like cloud-native 
deployments and popular event-driven FaaS platforms 
+It is designed to work with modern architectures, like cloud-native 
deployments and popular event-driven FaaS platforms
 like AWS Lambda and KNative, and to provide out-of-the-box consistent state 
and messaging while preserving the serverless
 experience and elasticity of these platforms.
 
@@ -17,7 +17,7 @@ to get yourself started with Stateful Functions in Python.
 
 For a fully detailed documentation, please visit the [official 
docs](https://ci.apache.org/projects/flink/flink-statefun-docs-master).
 
-For code examples, please take a look at the [examples](../statefun-examples/).
+For code examples, please take a look at the 
[examples](https://github.com/apache/flink-statefun-playground/tree/release-3.2/python).
 
 ## Table of Contents
 
@@ -57,7 +57,7 @@ You can register persistent state that will be managed by the 
Stateful Functions
 for state consistency and fault-tolerance. Values can be generally obtained 
via the context parameter:
 
 ```
-from statefun import * 
+from statefun import *
 
 functions = StatefulFunctions()
 
@@ -81,7 +81,7 @@ handler = RequestReplyHandler(functions)
 
 For example, using Flask:
 
-``` 
+```
 @app.route('/statefun', methods=['POST'])
 def handle():
     response_data = handler.handle_sync(request.data)