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Bonjour 👋

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Pierre Navaro, scientific computing engineer

I work at IRMAR in Rennes, France.

Languages

Python Fortran Julia

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Python courses

Python for scienticific computing

Python for Big Data

Python with Fortran

Projects

GeometricClusterAnalysis.jl

GEMPIC.jl

VlasovSolvers.jl

AnalogDataAssimilation.jl

HOODESolver.jl

SemiLagrangian.jl

OTRecod

Pierre Navaro's Projects

anda icon anda

¡AnDA! is a Python library for the Analog Data Assimilation.

benchm-ml icon benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

ceda icon ceda

¡CEDA! is a Python library for the Covariance Estimation in Data Assimilation.

covid-uk icon covid-uk

Scenario analyses for COVID-19 outbreak in the United Kingdom

diffeq icon diffeq

Talk about the organization for differential equations in Julia

dockerfiles icon dockerfiles

A set of Dockerfiles to be built automatically on DockerHub

fortran-vs-julia icon fortran-vs-julia

Fortran-Julia syntax comparison and Maxwell Solver in 2D using Yee numerical scheme and MPI topology

genie.jl icon genie.jl

The highly productive Julia web framework

hello-quarto icon hello-quarto

Slides for quarto demo, forked from Mine Cetinkaya-Rundel

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