Dear python enthusiasts,

--(you can skip this part if you're in a hurry)--
4 years ago I was discovering this great language. Already an experienced 
software developer and data scientist at that time, accustomed with both 
low-level (C++), Object-Oriented (Java), Query (T-SQL), and Script (MATLAB) 
languages, I still have to admit that I was blown away by the capabilities and 
expressiveness of python ! 

Our team leveraged python during this period to develop our second cloud-based 
Analytics as a Service platform. As I found out, even if the quantity of 
available open source python libraries was already huge, many elements were 
missing in order to cover all of our needs in an elegant, "pythonic" way. So I 
first developed some common libraries for internal use, and eventually made 
some of them open source to make them more mature and to get community 
feedback. At first it was difficult to create elegant libs, but after a dozen I 
think that I began to "get it right".

Now that we are reaching the 4th year anniversary (and I am about to take some 
rest for a second paternity leave), I thought that it would be a great time to 
do a summary of the main issues that I came across with python, and share this 
with you. Most of these issues were so blocking/frustrating that I had to 
create a library to fix them, when I could. Still, I believe that some deserve 
a better fix, directly in the core python stdlib or, for one or two of them 
maybe, in the language itself. 
-------

The result is a list of 12 PEP topics/ideas that can be found and discussed 
here: https://github.com/smarie/python-pep-ideas/issues . For reference, the 
list of open source libraries that were at the origin of the discovery or the 
fix of these issues is here: 
https://github.com/smarie/ALL_OF_THE_ABOVE#overview . I tried to use git labels 
to relate ideas with their related lib.

I hope that this will serve the python community and maybe make python even 
greater in the future!
Kind regards - stay safe

--
Sylvain
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