Since I left X, I follow more sources and tend to verify them more often. The alternatives are numerous. Starting from other social media with real governance (like mastodon), through RSS feeds, to forums/newsletters…
It's an interesting read and a thought provoking idea. The authors definitely make a good point, but it's not really a scientific piece of work as they lack the quantitative analysis and even fail to describe the method…
SEEKING WORK | Python dev/data scientist | Paris or remote I have 10+ years of experience in Python / data analysis / machine learning / deep learning. I can work on proof-of-concepts or implementing data processing…
There is also a jupyter notebook to accompany it: http://nbviewer.jupyter.org/github/btel/streams_with_amazon_...
> * the last one (`return None`) make me very dubious simply `return` would be enough
According to the pep ensurepip was rejected: http://www.python.org/dev/peps/pep-0453/#including-ensurepip...
Since I left X, I follow more sources and tend to verify them more often. The alternatives are numerous. Starting from other social media with real governance (like mastodon), through RSS feeds, to forums/newsletters…
It's an interesting read and a thought provoking idea. The authors definitely make a good point, but it's not really a scientific piece of work as they lack the quantitative analysis and even fail to describe the method…
SEEKING WORK | Python dev/data scientist | Paris or remote I have 10+ years of experience in Python / data analysis / machine learning / deep learning. I can work on proof-of-concepts or implementing data processing…
There is also a jupyter notebook to accompany it: http://nbviewer.jupyter.org/github/btel/streams_with_amazon_...
> * the last one (`return None`) make me very dubious simply `return` would be enough
According to the pep ensurepip was rejected: http://www.python.org/dev/peps/pep-0453/#including-ensurepip...