Showing posts with label Julia. Show all posts
Showing posts with label Julia. Show all posts

Thursday, April 02, 2026

The final piece of the puzzle: Margins.jl

 With the arrival of margins.jl, the Julia ecosystem for data analysis is finally complete. 

Saturday, October 25, 2025

Agents.jl vs. Vanaha.jl

 Some very informative discussions here.

Introduction to Julia for R users

 Useful information for R users here.

This is another one.

Sunday, November 17, 2024

Julia performance

 This article has a few valuable references for benchmarking Julia vs. R vs. Python code. 

Saturday, November 16, 2024

Interactive visualization using Agents.jl

 From this post, it is straightforward to create an interactive interface that is similar to the one found in Netlogo. 

Tuesday, October 29, 2024

TidierData and dplyr

 TidierData is a Julia implementation of the dplyr R package. This post is very informative. 

Thursday, February 01, 2024

ABM using Julia

Just spent some time with Agents.jl, then I discovered EasyABM.jl, which looks and works more like NetLogo. 

Saturday, December 30, 2023

Adding and removing Jupyter kernels

 Using the following command to see the currently installed kernels:

jupyter kernelspec list

And the following command to remove an installed kernel (in my case an updated version has been installed):

jupyter kernelspec uninstall julia-1.9

To add an updated version of Julia kernel into Jupyter, it is sufficient to:

Pkg.build("IJulia")

These simple things need to become part of my muscle memory. 

Wednesday, December 10, 2014

Lighttable as a Julia IDE

Unconventional but very exciting.

Tuesday, December 09, 2014

Useful Julia resources

This is a list of Julia resources for statistics.

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