Astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use astropy…
Maintainer K-Dense Inc. · Last updated April 1, 2026
FluidSim is an object-oriented Python framework for high-performance computational fluid dynamics (CFD) simulations. It provides solvers for periodic-domain equations using pseudospectral methods with FFT, delivering performance comparable to Fortran/C++ while maintaining Python's ease of use. **Key strengths**: - Multiple solvers: 2D/3D Navier-Stokes, shallow water, stratified flows - High performance: Pythran/Tran….
Original source
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/fluidsim
Skill Snapshot
Source Doc
Install fluidsim using uv with appropriate feature flags:
## With FFT support (required for most solvers)
uv uv pip install "fluidsim[fft]"
## With MPI for parallel computing
uv uv pip install "fluidsim[fft,mpi]"
bash
export FLUIDSIM_PATH=/path/to/simulation/outputs
export FLUIDDYN_PATH_SCRATCH=/path/to/working/directory
No API keys or authentication required.
See references/installation.md for complete installation instructions and environment configuration.
Related skills
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use astropy…
Spatial and temporal convergence analysis with Richardson extrapolation and Grid Convergence Index (GCI) for solution verification.
Select and apply numerical differentiation schemes for PDE/ODE discretization. Use when choosing finite difference/volume/spectral schemes,…
Analyze and enforce numerical stability for time-dependent PDE simulations. Use when selecting time steps, choosing explicit/implicit scheme…