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Vestin Hategekimana Profile
Vestin Hategekimana

@PEcodemo

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Following
731
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126

PhD Candidate in Demography at @UNIGEnews & @nccr_onthemove Working in the field of migration and mobility Member of @wedata_unige R, Python, Julia and Nim fan!

Geneva
Joined August 2020
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@wedata_unige
WeData
1 year
One of our videos from @PEcodemo has been reposted by the incredible Tidier.jl project that brings Tidyverse to the Julia programming language. Follow them, this is an amazing project!
@Tidierjl
Tidier.jl
1 year
"I'm going to tell you another thing that made me use Julia. It's Tidier.jl." https://t.co/cZBQIJh6YE
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@Tidierjl
Tidier.jl
1 year
"I'm going to tell you another thing that made me use Julia. It's Tidier.jl." https://t.co/cZBQIJh6YE
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@miniapeur
Mathieu
2 years
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@axiomsofxyz
James Balamuta, Ph.D.
2 years
George Stagg just released a new #quarto extension that allows for an embedded full feature code editor inside of Quarto slide deck! It supports both #rstats via #webr and #python via #pyodide. Announcement: https://t.co/tjHFNl4B55 Extension: https://t.co/Q0IFUxNzZc
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@RustTrending
Rust Trending
2 years
typst: A new markup-based typesetting system that is powerful and easy to learn. β˜…31081
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github.com
A markup-based typesetting system that is powerful and easy to learn. - typst/typst
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@nccr_onthemove
nccr – on the move
2 years
As we've reached the end of our #neuchgradconf24, we'd like to thank you, dear participants, for your fascinating presentations and thought-provoking discussions. Your engagement has truly made this event the success it was.πŸ‘ We can't wait to see you again in 2025 @UniNeuchatel!
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@nccr_onthemove
nccr – on the move
2 years
🚨 Happening Now: Round table on our approach to Migration, Mobility and Crisis exploring new perspectives beyond traditional views with @PEcodemo, @Anna__Marino, @AManatschal, @janineDahinden, @LuOesch, @eloise_thom, and Didier Ruedin at the #neuchgradconf24. #ResearchFramework
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@nccr_onthemove
nccr – on the move
2 years
Our own @PEcodemo talked about how migrants' mobility intentions evolve over their lives, considering aspects like transnational family ties or the impact of COVID-19. #neuchgradconf24 #transnationalism #migration
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@flujoo
flujoo
2 years
Create music with R https://t.co/eV9RZwmxsA #rmarkdown #rstats gm 2.0.0
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@frankiethull
Ambassador Frank Hull πŸ₯
2 years
@PEcodemo @EconMaett WE WANT THIS
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@TheStrugglingS4
The Struggling Scientists
2 years
As a PhD student or academic, you have a lot on your plate.  But getting shit done doesn't have to be overwhelming.  Here are some methods that will help you stay focused and productive: Thread 🧡
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@nccr_onthemove
nccr – on the move
2 years
πŸš€ Check out our new video on "Crises, Migration, and (Im)Mobility"! πŸŽ₯ The video explores the Migration-Mobility Nexus framework, highlighting key relationships and the impact of crises at individual, societal, and governance levels! https://t.co/TGIz1kF5hh
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@Tidierjl
Tidier.jl
2 years
Calling all #JuliaLang, #RStats, and data peeps, can you help us get to 500 🌟 on GitHub? #Tidy…Saturday? https://t.co/2ig5j5RH4G
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github.com
Meta-package for data analysis in Julia, modeled after the R tidyverse. - TidierOrg/Tidier.jl
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@nccr_onthemove
nccr – on the move
2 years
We are delighted to host our collaborative workshop in Quantitative Text Analysis - led by @kr_jisu - with @DomitillaMazzo, Tochukwu Nwekwo, @KarinJVaagland,@MaarjaVollmer @FrowinRausis, @OCPedersen, @eloise_thom, @PEcodemo and Maeva Perrin @UniNeuchatel!
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@kdpsinghlab
Karandeep Singh
2 years
QuartoDocBuilder.jl ❀️ #rstats {pkgdown} What sets it apart from Documenter.jl? For starters, it includes support for comments, so you can see what aspects of the documentation people have questions about. https://t.co/IMcswubiH6 Credit: @viturivitur
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@mhsatman
Mehmet Hakan Satman
2 years
The same code with Julia nightly build (of today). Python 3.12: 3.79 secs Mojo latest: 476.12 millis Julia nightly: 294.37 millis #> python3.12 https://t.co/JrSNJyAxxZ #> mojo build integrate.mojo & ./integrate #> julia +nightly integrate.jl
@mhsatman
Mehmet Hakan Satman
2 years
Python 3.12 vs. Mojo Numerical integration of Gaussian probability density from -1.96 to 1.96 with a small eps. Python 3.12: 3.79 secs Mojo latest: 476.12 millis #> python3.12 https://t.co/JrSNJyAxxZ #> mojo build integrate.mojo & ./integrate compilation time is included.
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@RustTrending
Rust Trending
2 years
typst: A new markup-based typesetting system that is powerful and easy to learn. β˜…27563
Tweet card summary image
github.com
A markup-based typesetting system that is powerful and easy to learn. - typst/typst
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@kdpsinghlab
Karandeep Singh
2 years
New πŸ”₯ Tidier.jl docs for #JuliaLang coming soon… courtesy of @Gaspardelanoche!
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@tord_munoz
David Munoz Tord
2 years
Thrilled to share that we are featured in the latest episode of "Learning from Data" podcast! πŸš€ Join us as we discuss WeData. Listen in now on Spotify 🎧 #DataScience #Podcast #LearningFromData #WeData #UniGe #CCSD https://t.co/w2bTFlI5YM
open.spotify.com
Learning from Data Β· Episode
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