Mehmet Hakan Satman

@jbytecode.bsky.social

Professor of Numerical Methods @ Istanbul University | Associate Editor @ Journal of Open Source Software (JOSS)

lts function of LinRegOutliers.jl is now faster than the R counterpart ltsreg of MASS when the regression data has 10000 observations and 10 parameters. Note that the R versiın is based on the native code whereas the Julia implementation is in pure Julia. github.com/jbytecode/Li... #JuliaLang

GitHub - jbytecode/LinRegOutliers: Direct and robust methods for outlier detection in linear regression

Direct and robust methods for outlier detection in linear regression - jbytecode/LinRegOutliers

github.com

🟢A Julia package for creating probability distributions parameterised by moments (mean, variance, etc.) or quantiles, on standard or arbitrary supports. Builds on Distributions.jl. It makes this possible: d = make_dist(Normal, q1=-1, q3=1) #JuliaLang discourse.julialang.org/t/distributi...

DistributionsFactories.jl

I’m happy to announce DistributionsFactories.jl, a package that solves a problem most of us have hit: you know the summary statistics you want — a mean and variance, a couple of quantiles, a mode — bu...

discourse.julialang.org

First, I define the data structures for the code I'm going to write (struct/class/enum/type). Then, I write a few initializers by hand. After that, I enter the prompts for the core functions as comments. I guess they call this the dinosaur style of using AI.

🟢 - "After six years, it’s time to release Pluto version 1.0! With this release, I want to celebrate all the progress over the past years, and to symbolise that Pluto is ready. I am proud of what we have achieved, and I hope you enjoy it!" #JuliaLang discourse.julialang.org/t/pluto-1-0-...

Pluto 1.0 release!

After six years, it’s time to release Pluto version 1.0! With this release, I want to celebrate all the progress over the past years, and to symbolise that Pluto is ready. I am proud of what we have a...

discourse.julialang.org

DuckDB is an excellent alternative to SQLite. It compressed my 114 MB historical price database down to just 8 MB while significantly speeding up query performance. Furthermore, it offers seamless integration with Julia via the DuckDB.jl package. #JuliaLang