I'm Leif ("life") and I do research into clouds an their effect on Earth's weather and climate using fluid dynamics simulations and machine learning.
I'm particularly interested in making better predictions about our planet's future weather and climate. Love all things science, technology and jazzy 🎶 🎵 🌍 🌎 🌏 🛰️ 💻
Finally, the Makie project has a new website: http://makie.org! It shows Makie's capabilities and helps to attract stable funding so we can concentrate on new features and maintenance. If you are interested in collaborating, consultations, or sponsorship, we're looking forward to hearing from you! #julialang#plotting
Thanks @LazaroAlonso for the great cover picture made with Makie :)
Absolutely 0 scientific use of it, but I still find it extremely pleasant to see:
a silly N body system of self-gravitating masses, solved with a dumb N^2 gravity solver. #Julialang
Episode 3 of @JuliaLanguage Journey is out. It is a short video about Julia types. Beginners will find it informative and intermediate users might like just to see how the type tree below is made.
I'm a PhD student in Urban and Regional #Planning at the University of Hawaii at Manoa. I'm especially interested in regional revitalization in #Japan, #Korea, and elsewhere in East and Southeast Asia.
Also a big fan of #JuliaLang and its applications for social science. In a parallel life I build #AgentBasedModels
#Julia#Julialang@julialang
I have a question:
I am using HDF5.jl to open an hdf5 file; the file is organised in >100 datasets, written by the creator in a rather unpredictable way.
How do I automatically open all
datasets in the sequence, without knowing their name beforehand? (with the final goal of recreating a single long array, by appending the content of each dataset - this I know how to do).
thanks in advance
Makie is a data visualization ecosystem for the Julia programming language, with high performance and extensibility. It supports various data visualization applications like 2D, 3D, and geospatial plots.
Seeing the schedule in #julialang conference and the last survey, looks like the community is embracing more the idea of using Rust as a support language.
(compared to python when it is forced to apply arbitrary functions with loops inside, element-wise to an array - that is, can't benefit from vectorised numpy functions)
this #maths experiment took about an hour in python and about 1 second in julia lang
sure my python isn't professional, but today was my first time with julia lang so that will be far from optimal either
hello #julialang people,
I am trying to add something to a package, so i opened the repl, entered pkg mode and ran develop MyPackage. Then I modified it in ~/.julia/dev/MyPackage but no changes showed up when I imported the package.
What did I do wrong
thanks
The remarkable aspect of mainstream economists is their persistence treating values in (digital) ledgers as actual instances of banknotes (physical paper) as their mental model, then selectively dropping the model.
These are really good questions that actually would be best addressed by agent-based modeling, where individual agents (banks, employees, investors, bond traders, federal govt, state govt, firms etc) each have behaviors defined by rules and you run the system adjusting the rules to see how the scenario plays out. #julialang is a great tool for this using the Agents.jl library in part because it's fast
Uno de los libros más conocidos para aprender Julia es “Think Julia” de Ben Lauwens y Allen Downey.
Acabo de ver que existe una traducción llamada “Introducción a la Programación en Julia” traducida por Pamela Alejandra Bustamante Faúndez. Está disponible gratuitamente en: