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Recognizing data-science technologies in python #1

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audrism opened this issue Oct 22, 2018 · 4 comments
Open

Recognizing data-science technologies in python #1

audrism opened this issue Oct 22, 2018 · 4 comments
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@audrism
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audrism commented Oct 22, 2018

In order to find projects relevant to learning it might be helpful to select them
from all python projects using modules specific to data science. What those may be?
How to go about finding them?

@user2589
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user2589 commented Nov 4, 2018

One way is to run community detection (e.g. Louvain algorithm) on technical dependencies network.
At the end, all ML/AI related projects fall into the same cluster (291 in the attached file)

pypi_communities.csv.gz

@jrosen48
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jrosen48 commented Nov 5, 2018

Perhaps we could use results from large-scale surveys?

@audrism
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audrism commented Nov 9, 2018

@jrosen48 Sure, do these surveys mention the projects used? or you intend to use surveys to develop theries for the learning research?

I think the list of ML projects in python from Marat and also R projects (we may select a subset related to ML if needed) provide a good base to determine the entire set of projects that use/learn ML.

Might it be a good idea to reconnect to see what the deadlines are and to focus ona specific set of RQs?

@jrosen48
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So, my thinking was that the surveys would possibly list specific Python libraries or R packages, but they do not appear to.

Reconnecting sounds great. Will send a note r/n.

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