
Hi. Nice to tweet you! 😊 Fly with us to the world of #OpenSource scientific computing 🐧 Sharing relevant news, tips, and tricks 💡 Check out our YT channel 📺
The world
Joined May 2022
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This definitely is worth to look at if you are interested in learning open-source software development👇
Are you new to #opensource, or curious to learn about best practices? We know many #energy stakeholders are, so here are free resources to help you utilize and participate in an efficient and effective manner: hubs.la/Q02jdxwm0 #lfenergy #utilities #energytransition
Very interesting and promising tool for scientific computing using Python👇
Pyccel joss.theoj.org/papers/10.211… transpiles type-annotated Python to readable Fortran or C, with speedups on numerical code (ODEs, PDEs, molecular dynamics) of up to 10^3, outperforming Pythran and Numba.
A brief but comprehensive post. Totally agree 👇
Why OpenFOAM?
Recently I have been asked, "Why OpenFOAM over proprietary solutions?". Here are my (personal): holger-marschall.owncube.com…
holger-marschall.owncube.com…
🔥NEW VIDEO
#ParaView plugins add new #computational features to this popular #OpenSource tool, but their build and installation process can be tricky. Let's see how we can compile a sample plugin using #CMake
#simulation #computing #visualization
youtube.com/watch?v=sBPi9Xxw…
TuxRiders retweeted
#Gridap, #GMSH (@OnelabModels ), #PETSc, and #ParaView working together to solve a PDE in parallel in less than 30 lines of code. All installed in a couple of clicks with the amazing @JuliaLanguage package manager.
Try it out: github.com/gridap/Gridap.jl
⚡NEW VIDEO⚡
#ParaView installation is quite straightforward, as expected from such a fantastic tool. You just grab and run the binaries, and that's it. But what if we need to build it from the source codes? Believe it or not, this is also very easy 👇
youtube.com/watch?v=3joVOlzC…
TuxRiders retweeted
LAMMPS tutorials inputs and files are now more recognizable thanks to ascii-image-converter (github.com/TheZoraiz/ascii-i…). Completely useless, but I love it.
"Computational Discovery on Jupyter", very cool demonstration of various simple computational models using #Python in #Jupyter notebooks 👌
computational-discovery-on-j…
TuxRiders retweeted
🔥 Just released
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Our biggest Open Source Icon Set ever!
4,000 icons with four styles: Line/Solid/Duo/Flat
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↓ Download here
Very exciting! And of course beneficial for @opensource scientific computing too.
Look at the list of projects they are going to start with to see why HPSF is going to be very cool: AMReX, Trilinos, VTK-m, Kokkos, ...
We are excited to announce our intention to form the High Performance Software Foundation (HPSF). Through a series of technical projects, HPSF aims to build, promote and advance a portable software stack for high performance computing.
Learn more: hubs.la/Q028CPF-0
An insightful read: Deep Learning: An Introduction for Applied Mathematicians 👇
arxiv.org/abs/1801.05894
Thank you so much, Jorge 🥰
Replying to @apek_shapeti @MAtrix_KULeuven
Some of the nice visuals of my presentation were done using the open-source #Paraview by @Kitware .
If you're interested, my friend @MojBarz explained how to combine datasets in this @TuxRiders video:
youtube.com/watch?v=OggPGUEg…
Very recommended YT channel by the way...
⚡NEW VIDEO⚡
As the first video in the #FreeFEM mini-projects series, we convert a transient 3D diffusion model into a parallel version. Bunch of things to see here about #PETSc and parallel #FiniteElement for time-dependent problems 🙂👇
youtube.com/watch?v=MvovTTcK…
TuxRiders retweeted
Quick Linux tip 💡
diff is a fine tool for finding difference between files in Linux terminal
The icdiff is even better as it shows colorized, side-by-side comparison 👇
very cool 🤩
Taking Multiphysics to the Next Level: Introducing multiRegionFoam for OpenFOAM
I am thrilled to announce the development of a novel unified solver framework for computational multiphysics of multi-region coupling type within OpenFOAM (FOAM-extend).
holger-marschall.owncube.com…
a quite handy library that is worth checking out 👇
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⚡NEW VIDEO⚡
Do you want to know a bit about #opensource parallel #LatticeBoltzmann simulations? In this on-demand video, we have a quick look at #Palabos code and the way you can use it to setup a quick #CFD simulation.
More LBM content to come soon😎
youtube.com/watch?v=sJ89FTGl…


















