Juin 2023

Bonjour, dernières nouvelles avant les vacances. N’oubliez pas le café Julia à la rentrée et les Journées Julia et Optimisation. On se retrouve en septembre, je vous souhaite un bel été.

Billets de blog

• Emma Boudreau - How To Use Julia WITHOUT The Documentation

• Stefan Krastanov - This month in Julia world June 2023

• Bogumił Kamiński - Filtering grouped data frames in DataFrames.jl

• Wang Shenghao - From Python to Julia: Basic Data Manipulation and Exploratory Data Analysis

• Matthijs Cox - Fruity Composable Design Patterns in Julia

• Jacob Zelko - A Fun Exploration of Perfect, Abundant, and Deficient Numbers

• Abhimanyu Aryan - Object-Oriented programming in julia

• Emma Boudreau - 10 Julia Base Methods For Introspection Maniacs!

• Bogumił Kamiński - Julia 1.9.0 lives up to its promise

Packages

• AccessibleOptimization.jl : function optimization with arbitrary structs.

• BaytesOptim.jl : optimization library for Baytes Modules.

• ConcurrentSim.jl : a discrete event process oriented simulation framework.

• ContinuousNormalizingFlows.jl : implementations of Infinitesimal Continuous Normalizing Flows Algorithms.

• CpuMemMonitor.jl : monitoring CPU and MEMORY usage made easy.

• DataDrivenAcoustics.jl : data driven acoustic propagation models.

• DynamicUnits.jl : lightweight + fast physical quantities in Julia.

• Earth.jl: multivariate adaptive regression splines for Julia.

• EstimatingEquationsRegression.jl : gEneralized Estimating Equations.

• FastDifferentiation.jl : generating efficient executables to evaluate derivatives of Julia functions.

• FiniteVolumeMethod1D.jl : implementation of the finite volume method in 1D.

• FiniteFields.jl : finite fields, elements of finite fields and modular numbers.

• FieldFlags.jl : a small package for creating bitfield-like structs.

• HiddenMarkovModels.jl: HMM modeling, simulation, inference and learning.

• LinearSegmentation.jl : linear segmentation

• Loraine.jl : general and low-rank semidefinite optimization.

• LuxAMDGPU.jl : trigger Package for AMDGPU Support in Lux.jl.

• MotifCluster.jl : motif-based weighted spectral clustering in Julia.

• MovingBoundaryProblems1D.jl : implementation of the finite volume method for moving boundary problems in 1D.

• MultivariateChebyshev.jl : interpolation of functions using Chebyshev polynomials

• NearestCorrelationMatrix.jl : Compute the nearest correlation matrix.

• ParametricBodies.jl : parametrically defined shapes in WaterLily.jl

• OperationsResearchModels.jl : a Julia package for operations research subjects.

• ProductArrays.jl : a lazy array acting like collect(Iterators.product(it...))

• QuantileNN.jl : nonparametric quantile regression using a nearest neighbor approach.

• RustFFT.jl: compute FFTs in Julia with the RustFFT crate.

• SparseArraysCOO.jl : create sparse vectors and matrices conveniently and efficiently.

• StableSpectralElements.jl : provably stable discontinuous spectral-element methods for conservation laws.

• SuperLUDIST.jl : distributed Sparse Matrix Factorizations.

• SupportPoints.jl: points in the plane whose coordinates are independent and follow standard exponential distributions.

• SyncSort.jl: synchronised Sorting of multiple arrays on different arcitectures.

• Sisyphus.jl: a high-performance library for gradient based quantum optimal control.

Vidéos

• Max Koehler, Dennis Ogiermann - Visualizing PDE Solutions on Unstructured Meshes with Makie.jl

• Kristoffer Carlsson - Workflow tips, and what is new in v1.9

Tutoriels, Documentation

• Leticia Maria Pequeno Madureira - The Julia Language crash course for chemists

• Luiz Faria - The Mandelbrot set challenge

• Michael Creel - Econometrics lecture notes with examples using the Julia language

• Adrian Hill - Julia programming for Machine Learning course at TU Berlin

Pierre

Abonnez-vous à la liste Julia du CNRS

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