#datatscience — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #datatscience, aggregated by home.social.
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Just released my first Python library on PyPI!
`ig_degree_betweenness` is a Python implementation of the "Smith-Pittman" community detection algorithm.
This library brings the power the the {ig.degree.betweenness} R package to Python
Install from PyPI with: `pip install ig-degree-betweenness`
Link to GitHub + details in the comments.
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Just released my first Python library on PyPI!
`ig_degree_betweenness` is a Python implementation of the "Smith-Pittman" community detection algorithm.
This library brings the power the the {ig.degree.betweenness} R package to Python
Install from PyPI with: `pip install ig-degree-betweenness`
Link to GitHub + details in the comments.
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Just released my first Python library on PyPI!
`ig_degree_betweenness` is a Python implementation of the "Smith-Pittman" community detection algorithm.
This library brings the power the the {ig.degree.betweenness} R package to Python
Install from PyPI with: `pip install ig-degree-betweenness`
Link to GitHub + details in the comments.
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Just released my first Python library on PyPI!
`ig_degree_betweenness` is a Python implementation of the "Smith-Pittman" community detection algorithm.
This library brings the power the the {ig.degree.betweenness} R package to Python
Install from PyPI with: `pip install ig-degree-betweenness`
Link to GitHub + details in the comments.
-
Just released my first Python library on PyPI!
`ig_degree_betweenness` is a Python implementation of the "Smith-Pittman" community detection algorithm.
This library brings the power the the {ig.degree.betweenness} R package to Python
Install from PyPI with: `pip install ig-degree-betweenness`
Link to GitHub + details in the comments.
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I am making up in timely for what I've lacked in consistency: new blog post. It explains what Wired said today but with 40 years of perspective. Lots of cool stuff today. Enjoy:
https://www.allandyenshapiro.com/
#NobelPrize
#nobel2024
#NobelPrizeForChemistry
#WritersOfMastodon
#AuthorsOfMastodon
#Writers
#Writing
#WritingCommunity
#AmWriting
#AmWritingScienceFiction
#DatatScience
#TedChiang -
I am making up in timely for what I've lacked in consistency: new blog post. It explains what Wired said today but with 40 years of perspective. Lots of cool stuff today. Enjoy:
https://www.allandyenshapiro.com/
#NobelPrize
#nobel2024
#NobelPrizeForChemistry
#WritersOfMastodon
#AuthorsOfMastodon
#Writers
#Writing
#WritingCommunity
#AmWriting
#AmWritingScienceFiction
#DatatScience
#TedChiang -
I am making up in timely for what I've lacked in consistency: new blog post. It explains what Wired said today but with 40 years of perspective. Lots of cool stuff today. Enjoy:
https://www.allandyenshapiro.com/
#NobelPrize
#nobel2024
#NobelPrizeForChemistry
#WritersOfMastodon
#AuthorsOfMastodon
#Writers
#Writing
#WritingCommunity
#AmWriting
#AmWritingScienceFiction
#DatatScience
#TedChiang -
I am making up in timely for what I've lacked in consistency: new blog post. It explains what Wired said today but with 40 years of perspective. Lots of cool stuff today. Enjoy:
https://www.allandyenshapiro.com/
#NobelPrize
#nobel2024
#NobelPrizeForChemistry
#WritersOfMastodon
#AuthorsOfMastodon
#Writers
#Writing
#WritingCommunity
#AmWriting
#AmWritingScienceFiction
#DatatScience
#TedChiang -
I am making up in timely for what I've lacked in consistency: new blog post. It explains what Wired said today but with 40 years of perspective. Lots of cool stuff today. Enjoy:
https://www.allandyenshapiro.com/
#NobelPrize
#nobel2024
#NobelPrizeForChemistry
#WritersOfMastodon
#AuthorsOfMastodon
#Writers
#Writing
#WritingCommunity
#AmWriting
#AmWritingScienceFiction
#DatatScience
#TedChiang -
Check out the new user-contributed #gretl package "GlobalFactors".
It does (a) estimates the number of global and local factors (b) consistently estimates (with PC) global & local factors and global & local loadings.
Written by Ioannis A. Venetis.
DOC: https://gretl.sourceforge.net/current_fnfiles/unzipped/GlobalFactors.gfn
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Check out the new user-contributed #gretl package "GlobalFactors".
It does (a) estimates the number of global and local factors (b) consistently estimates (with PC) global & local factors and global & local loadings.
Written by Ioannis A. Venetis.
DOC: https://gretl.sourceforge.net/current_fnfiles/unzipped/GlobalFactors.gfn
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Version 2023.2 of the user-contributed #gretl package "getYahoo" for downloading financial data from "Yahoo Finance" is out now.
Written by yinung.
DOC: https://gretl.sourceforge.net/current_fnfiles/getYahoo.gfn
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Version 2023.2 of the user-contributed #gretl package "getYahoo" for downloading financial data from "Yahoo Finance" is out now.
Written by yinung.
DOC: https://gretl.sourceforge.net/current_fnfiles/getYahoo.gfn
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Version 2023.2 of the user-contributed #gretl package "getYahoo" for downloading financial data from "Yahoo Finance" is out now.
Written by yinung.
DOC: https://gretl.sourceforge.net/current_fnfiles/getYahoo.gfn
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For the moment, we recommend to use the user-contributed #gretl package "auto_arima" written by @atecon .
https://gretl.sourceforge.net/current_fnfiles/auto_arima.gfn
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For the moment, we recommend to use the user-contributed #gretl package "auto_arima" written by @atecon .
https://gretl.sourceforge.net/current_fnfiles/auto_arima.gfn
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Just to inform you:
The next release will include native support for #AutoARIMA automatically determining the optimal ARIMA #timeseries model specification.This is will be pretty fast, as it's implemented in C.
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Just to inform you:
The next release will include native support for #AutoARIMA automatically determining the optimal ARIMA #timeseries model specification.This is will be pretty fast, as it's implemented in C.