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Re:How to make a Python package in 2021 by xapata on Thursday April 08, 2021 @12:55AM (#26735225)
On the whole, Guido's career as a BDFL was astoundingly effective. Maybe he made the right call. It'd have been a terrible idea to alienate the science community just when data science was taking off as a field.
Re:How to make a Python package in 2021 by staticassertion on Thursday April 08, 2021 @01:51AM (#26735500)
I'm not disagreeing, but I am curious if you have anything specific you would point to with regards to Guido's role being successful. I'm just ignorant really, it's not intended to be a leading question at all.
Re:How to make a Python package in 2021 by xapata on Thursday April 08, 2021 @02:01AM (#26735557)
Too many things to answer here. The easiest is to point to the popularity of the language. He's made decisions I disagree with, but I can't argue with success.
Re:How to make a Python package in 2021 by neolog on Thursday April 08, 2021 @02:04AM (#26735573)
I don't know how much the original author had to do with Python's success in the last 20 years. The success of Python in data science is because of NumPy/Scipy/Pandas. Things like packaging that needed leadership never got any.
Re:How to make a Python package in 2021 by xapata on Thursday April 08, 2021 @02:09AM (#26735609)
The leadership was that the science community would benefit from a science-specific tool, like Conda, and that making one ring to rule them all would be too difficult.

Also, yes, Guido and many other early contributers have been been active for 30ish years.

Re:How to make a Python package in 2021 by neolog on Thursday April 08, 2021 @08:55PM (#26745637)
Conda isn't really science specific, just like pip isn't webdev specific.
Re:How to make a Python package in 2021 by xapata on Friday April 09, 2021 @11:46AM (#26752046)
The result isn't, but the motivation was. And have you noticed who is using which tool?
Re:How to make a Python package in 2021 by toyg on Thursday April 08, 2021 @04:57AM (#26736588)
> The success of Python in data science is because of NumPy/Scipy/Pandas.

And NumPy/Scipy/Pandas exist (and are successful) because...? /s