#data-science — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #data-science, aggregated by home.social.
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Season 1 Lesson 37 Part 4 - Your First Steps in Python Python Memory Tricks Function State #pythonprogramming #datascience #vibecoding #pythoncode #softwaredeveloper #codingtutorial #softwarengineer #learncoding #dataengineer #machinelearning #jupyternotebook #dataanalysis #gcp #aws #python #azure
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Season 1 Lesson 37 Part 4 - Your First Steps in Python Python Memory Tricks Function State #pythonprogramming #datascience #vibecoding #pythoncode #softwaredeveloper #codingtutorial #softwarengineer #learncoding #dataengineer #machinelearning #jupyternotebook #dataanalysis #gcp #aws #python #azure
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`crossvalidation` on R-universe, plus a classification example
https://thierrymoudiki.github.io/blog/2021/07/23/r/crossvalidation-r-universe -
`crossvalidation` on R-universe, plus a classification example
https://thierrymoudiki.github.io/blog/2021/07/23/r/crossvalidation-r-universe -
🔥 The Green Illusion: Why Zoning-Level Analysis Changes the Picture
📊 Gross community statistics can be misleading. When measuring an entire neighborhood, large municipal parks and green buffers inflate the overall 'greenness' score.
❗ When we filter the data down exclusively to actual Residential Land Use Districts in established communities, the picture changes significant:
🔹 Unvegetated/Impervious surfaces (Solid) explode to ~80% (79.22%) of the total zoned area.
🔹 Vegetative classes collapse: Functional lawns and canopy cover are compressed into narrow margins (Lawn: 2.15%, Forest: 0.59%), with community-level sparsed trees (Park) accounting for only 17.87%.☝️ Moving from macro-boundaries to parcel-level zoning exposes the true physical density of Calgary’s residential footprint.
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #YYC #DataScience #Urban #Sentinel
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🔥 The Green Illusion: Why Zoning-Level Analysis Changes the Picture
📊 Gross community statistics can be misleading. When measuring an entire neighborhood, large municipal parks and green buffers inflate the overall 'greenness' score.
❗ When we filter the data down exclusively to actual Residential Land Use Districts in established communities, the picture changes significant:
🔹 Unvegetated/Impervious surfaces (Solid) explode to ~80% (79.22%) of the total zoned area.
🔹 Vegetative classes collapse: Functional lawns and canopy cover are compressed into narrow margins (Lawn: 2.15%, Forest: 0.59%), with community-level sparsed trees (Park) accounting for only 17.87%.☝️ Moving from macro-boundaries to parcel-level zoning exposes the true physical density of Calgary’s residential footprint.
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #YYC #DataScience #Urban #Sentinel
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GLMNet in Python: Generalized Linear Models
https://thierrymoudiki.github.io/blog/2024/11/18/python/r/GLMNet-post -
GLMNet in Python: Generalized Linear Models
https://thierrymoudiki.github.io/blog/2024/11/18/python/r/GLMNet-post -
Episode 238 of the @rstats @rweekly Highlights Podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/239
✅ Reviewable R-based submissions @RConsortium
💻 Windows ARM64 lands in R-Universe @jeroenooms
🏫 Teaching R with {nycOpenData} (Christian Martinez) @rOpenSciGrab yourself a new podcast app like @podverse or @merryoscar's Fountain for an easy way to interact with the show and your hosts! https://newpodcastapps.com
h/t @mike_thomas & @parmsam 🙏
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Episode 238 of the @rstats @rweekly Highlights Podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/239
✅ Reviewable R-based submissions @RConsortium
💻 Windows ARM64 lands in R-Universe @jeroenooms
🏫 Teaching R with {nycOpenData} (Christian Martinez) @rOpenSciGrab yourself a new podcast app like @podverse or @merryoscar's Fountain for an easy way to interact with the show and your hosts! https://newpodcastapps.com
h/t @mike_thomas & @parmsam 🙏
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Most "big data" projects are just expensive ways to collect noise. You don't need a bigger pipe, you need a sharper question before you start filling it. A hypothesis forces you to decide what signal actually matters, then you scale that. Without it, you're just paying for storage and calling it insight. #bigdata #datascience #analytics
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I have created {collapse} and {fastverse} skills for claude code, as well as an experimental skill for scientific plotting in R: https://github.com/fastverse/skills
If you want to write parsimonious and super-fast production-grade R code that is unlikely to break following package updates, these skills – based on package documentation and my own usage across various research codebases – now give your agents expert knowledge in operating the {fastverse}.
Happy vibe-coding #Rstats #DataScience.
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I have created {collapse} and {fastverse} skills for claude code, as well as an experimental skill for scientific plotting in R: https://github.com/fastverse/skills
If you want to write parsimonious and super-fast production-grade R code that is unlikely to break following package updates, these skills – based on package documentation and my own usage across various research codebases – now give your agents expert knowledge in operating the {fastverse}.
Happy vibe-coding #Rstats #DataScience.
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Season 1 Lesson 37 Part 3 - Your First Steps in Python Python Closures How Functions Remember Values #pythoncode #softwaredeveloper #codingtutorial #python #softwarengineer #pythonprogramming #datascience #vibecoding #learncoding #dataengineer #machinelearning #jupyternotebook #dataanalysis #gcp #aws #azure
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Season 1 Lesson 37 Part 3 - Your First Steps in Python Python Closures How Functions Remember Values #pythoncode #softwaredeveloper #codingtutorial #python #softwarengineer #pythonprogramming #datascience #vibecoding #learncoding #dataengineer #machinelearning #jupyternotebook #dataanalysis #gcp #aws #azure
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Interpretable probabilistic kernel ridge regression using Matérn 3/2 kernels
https://thierrymoudiki.github.io/blog/2025/03/16/r/matern32-intro -
Interpretable probabilistic kernel ridge regression using Matérn 3/2 kernels
https://thierrymoudiki.github.io/blog/2025/03/16/r/matern32-intro -
Documentation for the querier, a query language for Data Frames
https://thierrymoudiki.github.io/blog/2020/04/03/databases/python/the-querier-5 -
Documentation for the querier, a query language for Data Frames
https://thierrymoudiki.github.io/blog/2020/04/03/databases/python/the-querier-5 -
Season 1 Lesson 37 Part 2 - Your First Steps in Python Nonlocal Vs Global Scope #jupyternotebook #datascience #vibecoding #learncoding #dataengineer #pythoncode #softwaredeveloper #codingtutorial #python #softwarengineer #pythonprogramming #machinelearning #aws #dataanalysis #gcp #azure
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Season 1 Lesson 37 Part 2 - Your First Steps in Python Nonlocal Vs Global Scope #jupyternotebook #datascience #vibecoding #learncoding #dataengineer #pythoncode #softwaredeveloper #codingtutorial #python #softwarengineer #pythonprogramming #machinelearning #aws #dataanalysis #gcp #azure
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🚨 TENURE-TRACK JOB OPENING 🚨
Lewis & Clark College (Portland, Oregon, USA) invites applications for a tenure-track assistant professor position in our new, interdisciplinary Data Science major.
Please boost for reach.
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🚨 TENURE-TRACK JOB OPENING 🚨
Lewis & Clark College (Portland, Oregon, USA) invites applications for a tenure-track assistant professor position in our new, interdisciplinary Data Science major.
Please boost for reach.
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Thanks to John A for this horrifying news from #climate hero Bill McKibben [350.org]
"76.9 degrees Fahrenheit...
That was the average temperature for the lower 48 states in July, according to just-released federal #statistics, making it the hottest month in American history, 3.3 degrees hotter than the twentieth-century average."
#meteorology #thermodynamics #breakingNews #climateAction #FBPE #FFF #GCS #IPCC @350 #scienceNews #dataScience
https://billmckibben.substack.com/p/fun-with-numbers -
Thanks to John A for this horrifying news from #climate hero Bill McKibben [350.org]
"76.9 degrees Fahrenheit...
That was the average temperature for the lower 48 states in July, according to just-released federal #statistics, making it the hottest month in American history, 3.3 degrees hotter than the twentieth-century average."
#meteorology #thermodynamics #breakingNews #climateAction #FBPE #FFF #GCS #IPCC @350 #scienceNews #dataScience
https://billmckibben.substack.com/p/fun-with-numbers