Bonjour,
Je vous présente mes meilleurs voeux pour l’année 2023. Voici les liens et les packages que j’ai repérés le mois dernier pour vous aider à suivre l’actualité du langage Julia.
La version actuelle de Julia est la 1.8.4, la version 1.9 arrive.
Billets de blog¶
Should I Learn Julia?: Do you think learning Julia is better for your data science career? Let’s find out.
Here’s how NASA is using Julia to better understand the ocean
Using Conditional Statements in Julia: if/else, ternary operators, and try/catch
Finding (Semantically) Similar Vectors with Julia is Easy: The First Step
Automatically generate comments for your Julia code with OpenAI.jl and GPT-3
Packages¶
TaylorDiff.jl: Automatic differentiation (AD) library for efficient and composable higher-order derivatives, implemented with forward evaluation of overloaded function on Taylor polynomials.
ProfileLikelihood
.jl: Methods for profile likelihood analysis. Coluna.jl: Branch-and-Price-and-Cut in Julia.
DataDrivenDiffEq.jl: Data driven modeling and automated discovery of dynamical systems.
WorldDynamics.jl: An open-source framework written in Julia for global integrated assessment models.
EnsembleKalmanProcesses
.jl: Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes. BandwidthBenchmark
.jl: Measuring memory bandwidth. XGBoost.jl: eXtreme Gradient Boosting in Julia.
GitOut.jl: Git commands from Julia.
FastTransformsForwardDiff
.jl: A Julia package to support forward-mode auto-differentiation for fast transforms. DataFlowTasks.jl: Tasks which can keep track of how data flows through it.
FiniteVolumeMethod
.jl: Package for solving partial differential equations. vSmartMOM.jl: An end-to-end modular software suite for vectorized atmospheric radiative transfer calculations, based on the Matrix Operator Method.
PDELib.jl: FVM and FEM Toolbox in Julia.
TreeRecipe.jl: Plot recipe for plotting (decision) trees.
GnuplotLite.jl: Responsive and composable no-nonsense interface to Gnuplot.
Vidéos¶
A la découverte de Julia !: Atelier Julia animé par Thibaut Cuvelier.
Metal.jl: A GPU backend for Apple hardware: This talk presents updates on the development of a #GPU backend for Apple hardware (specifically the M-series chipset) along with a brief showcase of current capabilities and interface.
Tutoriels, ouvrages et documentation¶
A bientôt
Pierre