[GitHub] [flink] hequn8128 commented on a change in pull request #11079: [FLINK-16031][python] Improve the description in the README file of PyFlink 1.9.x.

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hequn8128 commented on a change in pull request #11079: [FLINK-16031][python] Improve the description in the README file of PyFlink 1.9.x.
URL: https://github.com/apache/flink/pull/11079#discussion_r383130950
 
 

 ##########
 File path: flink-python/README.md
 ##########
 @@ -1,30 +1,19 @@
-# Apache Flink Python API
+# Apache Flink
 
-Apache Flink is an open source stream processing framework with the powerful stream- and batch-processing capabilities.
+Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.
 
-Learn more about Flink at [http://flink.apache.org/](http://flink.apache.org/)
+Learn more about Flink at [https://flink.apache.org/](https://flink.apache.org/)
 
-This packaging allows you to write Flink programs in Python, but it is currently a very initial version and will change in future versions.
-
-In this initial version only Table API is supported, you can find the documentation at [https://ci.apache.org/projects/flink/flink-docs-master/dev/table/tableApi.html](https://ci.apache.org/projects/flink/flink-docs-master/dev/table/tableApi.html)
-
-## Installation
+## Python Packaging
 
-Currently, we can install PyFlink from Flink source code. Enter the directory where this README.md file is located and install PyFlink on your device by executing 
-
-```
-python setup.py install
-```
+This packaging allows you to write Flink programs in Python, but it is currently a very initial version and will change in future versions.
 
-## Running test cases 
+In this initial version only Table API is supported, you can find the documentation at [https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/table/tableApi.html](https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/table/tableApi.html)
 
-Currently, we use conda and tox to verify the compatibility of the Flink Python API for multiple versions of Python and will integrate some useful plugins with tox, such as flake8.
-We can enter the directory where this README.md file is located and run test cases by executing
+The tutorial can be found at [https://ci.apache.org/projects/flink/flink-docs-release-1.9/tutorials/python_table_api.html](https://ci.apache.org/projects/flink/flink-docs-release-1.9/tutorials/python_table_api.html)
 
-```
-./dev/lint-python.sh
-```
+The auto-generated Python docs can be found at [https://ci.apache.org/projects/flink/flink-docs-release-1.9/api/python/](https://ci.apache.org/projects/flink/flink-docs-release-1.9/api/python/)
 
 ## Python Requirements
 
-PyFlink depends on Py4J (currently version 0.10.8.1).
+Apache Flink Python API depends on Py4J (currently version 0.10.8.1) and python-dateutil(currently version 2.8.0).
 
 Review comment:
   We have not specified the version of python-dateutil in setup.py, so the version should be latest, instead of 2.8.0?

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