Septembre 2022

Bonjour,

La version actuelle de Julia est numerotée 1.8.2. Pensez à faire la mise à jour. Nous sommes en train de préparer le tutoriel Gridap.jl prévu le 1er décembre à l’école polytechnique à Palaiseau. Je vous préviens dès que les inscriptions sont ouvertes.

Billets de blog

• Working with Julia projects

• Approximating a function using derivatives

• Reproducible examples in blog posts

• Back to the basics: don’t lag behind with your DataFrames.jl skills

• How Julia ODE Solve Compile Time Was Reduced From 30 Seconds to 0.1

• Tricky concepts in Julia for beginners (and how to overcome them)

• Best kept secret of modern CPU technology

• GPU programming in DFTK.jl

• The only way you should be splitting a String in Julia — Julia Base.split()

• 3 Features Just Added in Julia 1.8 You Won’t Want to Miss

• Publishing Julia Notebooks with Docker and GitHub Actions

• Why Julia 2.0 Isn’t Coming Anytime Soon (and Why That Is a Good Thing)

• Finding (Semantically) Similar Vectors with Julia is Easy: The First Step

• Can Julia Programming Language Become as Popular as Python, R?

• 5 Applications Of The Julia Language You Might Not Have Expected

Packages

• Amaru.jl : Finite element library. Lien vers la documentation.

• IGAPack.jl : Isogeometric/NURBS implementation in Julia.

• SimplexCellLists.jl : inspired by CellListMap.jl it accelerates computations on all pairs of 3D points, line segments, and triangles within a cutoff distance.

• DynamicNLPModels.jl : NLPModels for dynamic optimization

• Garamon.jl : A julian port of the C++ Geometric Algebra library Garamon.

• PkgDependency.jl : Show dependency tree of Julia project

• Sophon.jl : Neural networks and neural operators for physics-informed machine learning.

• ChebyshevTransforms.jl : A library for approximating functions by Chebyshev polynomials.

• MultiDocumenter.jl : aggregates Documenter.jl documentation from multiple sources into one page with a global search bar.

• FletcherPenaltySolver.jl : Fletcher’s penalty method for nonlinear optimization models.

Vidéos

• Julia in VS Code - What’s New

• How to be an effective Julia advocate?

Tutoriels, ouvrages et documentation

• 5 free courses to learn Julia — Start learning today!

• Julia HPC Examples

• Julia for Python Users

• Julia for Data Science

• Mathematical Programming with Julia : Mathematical Programming with Julia is a new book by Richard Lusby and Thomas Stidsen. It features an open source approach to linear and mixed-integer programming. Merci Xavier pour le lien.

Divers

• Gabriel Wu a amélioré le compilateur lfortran pour générer du code Julia à partir d’un module fortran.

• Collisions with Javis.jl : code, gif

A bientôt

Pierre

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