Skip to content

juliabloggers.com

A Julia Language Blog Aggregator

  • Home
  • Submit Your RSS/Atom Feed

How to call Julia code from Python

By: julia on Abel Soares Siqueira

Re-posted from: https://abelsiqueira.com/blog/2022-01-19-python-and-julia-1/

I worked on this blog post working for the Netherlands eScience Center.
This is the first part of a three-part series.
Co-authored by Faruk Diblen.

Check the blog post here.

This entry was posted in Julia on January 18, 2022 by julia on Abel Soares Siqueira.

How to call Julia code from Python

By: julia on Abel Soares Siqueira

Re-posted from: https://abelsiqueira.com/blog/2022-01-19-python-and-julia-1/

I worked on this blog post working for the Netherlands eScience Center. Co-authored by Faruk Diblen.
Check the blog post here.

This entry was posted in Julia on January 18, 2022 by julia on Abel Soares Siqueira.

Neovim + LanguageServer.jl

By: Dheepak Krishnamurthy's Blog

Re-posted from: https://blog.kdheepak.com/neovim-languageserver-julia

Showcasing Neovim and LanguageServer.jl

This entry was posted in Julia on January 18, 2022 by Dheepak Krishnamurthy's Blog.

Post navigation

← Older posts
Newer posts →

RSS feed

Recent Posts

  • cuTile.jl 1.0: Tile windows, atomics, and sparse views
  • CUDA.jl 6.3: Compiler caching, a new cuDNN, and dependent launches
  • State of Julia's GPU ecosystem in 2026
  • What's New in SciML Since OrdinaryDiffEq v7: Continuation Solvers, Multirate Integrators, and a Pure-Julia Sparse LU
  • OrdinaryDiffEq.jl v7 and DifferentialEquations.jl v8: What Breaks, What to Do About It
  • ModelingToolkit v11: Licensing, Type-Stability / Performance Improvements, and Array Future
  • AMDGPU.jl 2.6 and 2.7: linear algebra, sparse arrays, and RDNA4 matrix cores
  • Metal.jl 1.10: Linear algebra, FFTs, and a faster runtime
  • SciML Small Grants Program: Two Years In, Eight More Projects Funded and Shipped
  • Julia, custom serialization with JSON.jl
Proudly powered by WordPress