Janvier 2023

Bonjour. Le nombre de nouveaux packages augmente chaque mois. Cela devient difficile de suivre :-) Pour les fans de visu, la conférence MakieCon aura lieu en Allemagne du 18 au 20 avril 2023.

La dernière version stable de Julia est la 1.8.5. Vous pouvez utiliser juliaup pour l’installer. jill fonctionne toujours pour les fans de linux. Sur les mac, à mon humble avis, la version cask de homebrew est la plus pratique.

Billets de blog

• 7 Awesome Multiple Dispatch Tricks For Julia

• 10 examples of embedding Julia in C/C++

• Logistic Regression in Julia – Practical Guide with Examples

• Denoising diffusion probabilistic models from first principles

• Julia Programming Applications – What is Julia Used For?

• My journey from R to Julia. A brief introduction to Julia for epidemiologists.

• Julia vs R - Which Should You Learn?

• DataFrames.jl indexing rules

Packages

• HyperTuning.jl: HyperTuning: Automated hyperparameter tuning in Julia.

• KryburyCompress.jl: Compression method for storing large covariance matrices, which is also fast when they are built from low-rank factors.

• StateSpaceModels.jl: Julia package for time-series analysis using state-space models.

• GaussianVariationalInference.jl : Approximate variational inference in Julia.

• DynamicHMC.jl: Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

• CluGen.jl: Multidimensional cluster generation in Julia.

• XSLT.jl: A Julia wrapper to libxslt to apply a stylesheet to an XML file.

• SkeelBerzins.jl: Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins.

• ProfileLikelihood.jl: Methods for profile likelihood analysis.

• TextGraphs.jl: Graph representations of text.

• LaserFields.jl: library to describe the time-dependent electric fields of a laser pulse.

• ParallelMergeCSR.jl: Merge-based Parallel Sparse Matrix-Vector Multiplication in Julia.

• ReducedBasis.jl: Julia package that uses the reduced basis method to accelerate the solution of a parametrized eigenvalue problems across the parameter domain.

• ExactODEReduction.jl: Exact reduction of ODE models via linear transformations.

• GeneralizedGaussianQuadrature.jl : Generalized gaussian quadrature rules for arbitrary functions.

• BasicBSpline.jl: Basic (mathematical) operations for B-spline functions and related things with julia.

• Bokeh.jl: Julia bindings for the Bokeh plotting library.

• BokehServer.jl: A julia Bokeh server.

• Pluto2Jupyter.jl: Pluto to Jupyter Notebook converter and vice versa.

• MultilayerGraphs.jl: A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.

Vidéos

• Intro to Scientific Computing in Julia

• Julia Performance Tips and Tools | How to use @time, @profile, @profview, @profview_allocs

• Geodata Science Hands-on at JuliaEO 2023

• Reproducible Publications with Julia and Quarto

• How to Linearize a ModelingToolkit model

Tutoriels, ouvrages et documentation

• “Introduction to Julia for Data Science” course at MIT

• Asynchronous Workflow Using Julia Tutorial

• Introduction to Julia (datacamp.com): Attention seule la partie « basique » est gratuite.

• Ordinary differential equation model with profile likelihood using ProfileLikelihood.jl

• An example of how to write a relatively simple SPH (Smoothed Particle Hydrodynamics) dam-break simulation in Julia.

• JuliaEO Repository (data, code, etc.) for the workshop: JuliaEO - Earth Observation with Julia.

A bientôt

Pierre

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