HyukjinKwon commented on a change in pull request #27928: [SPARK-31167][BUILD] 
Refactor how we track Python test/build dependencies
URL: https://github.com/apache/spark/pull/27928#discussion_r393420994
 
 

 ##########
 File path: dev/requirements.txt
 ##########
 @@ -1,5 +1,7 @@
-flake8==3.5.0
+pycodestyle==2.5.0
+flake8==3.7.9
 jira==1.0.3
 PyGithub==1.26.0
 Unidecode==0.04.19
-sphinx
+sphinx==2.3.1
+numpy==1.18.1
 
 Review comment:
   I quickly googled and skimmed other projects about the requirements 
[here](https://data-flair.training/blogs/python-open-source-projects/) and 
[here](https://hackernoon.com/50-popular-python-open-source-projects-on-github-in-2018-c750f9bf56a0).
 I still think it's more usual to specify the range, rather than the specific 
version.
   
   I am still not sure if it's right to pin the version yet. There's trade-off 
on pinning. I think Spark community is big enough to handle these issue from 
using the latest versions too. I would only pin the version when an issue 
difficult to fix is found.
   

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