Avril 2025#
Bonjour,
La conférence JuliaCon Local Paris 2025 aura lieu les 2 et 3 octobre au Conservatoire National des Arts et Métiers. L’appel à contributions est ouvert jusqu’au 15 mai donc il vous reste peu de temps. De nombreux formats existent, je compte sur vous ;-)
Billets de blog et Articles#
Gwang-Jin - From PDF to Markdown with Local LLMs in Julia — Fast, Private, and Elegant
Emma Boudreau - Building A Custom Router For My Documentation Website
Spatial Data Science Languages: commonalities and needs Exploring challenges & insights from R Python and Julia for spatial data handling—geodetic coords, data cubes, and more!
How We Evaluated Our Solvers on Three Numerical Experiments and Benchmarked Them
From Code to Currents: Julia and GPU Magic Transform Ocean Modeling Efficiency
Packages#
ArbNumerics.jl extended precision math, accurate and performant.
BandlimitedOperators.jl Fast algorithms for working with bandlimited kernel matrices.
Breakers.jl partition a vector into bins.
ConvolutionInterpolations.jl smooth high-accuracy N-dimensional interpolation using separable convolution kernels.
CryptoUtilities.jl brings fast and easy support for binary extension fields, Merkle trees, Reed-Solomon codes over binary extensions, and many more.
DICEModel.jl Nordhaus” DICE (Dynamic Integrated Climate-Economy model) model.
Hedgehog.jl A derivatives pricing library with AD sensitivities and calibration.
JuliaGrid.jl power system simulation tool for researchers and educators.
LieGroups.jl Lie groups and Lie algebras.
LinearMPC.jl Model Predictive Control (MPC) of linear systems.
PauliStrings.jl Quantum many body simulations in the Pauli strings representation.
Streamfall.jl A graph-based streamflow modelling system.
StructuralVibration.jl a set of tools for generating vibration data to validate new numerical methods.
TestPicker.jl selecting and running test files and testsets.
TimeRecords.jl Data structure framework to support record-driven (row-wise) timeseries analysis operatios.
Vidéos#
Tutoriels, Documentation, Livres, Supports de cours…#
Julia TTFX Snippets A collection of TTFX workloads for Julia packages, for longitudinal performance testing.
A quick introduction to working with Stochastic Processes in Julia