Assorted utilities for uncertainty quantification and scientific computing.

You can install normally with:

pip install uqtils

If you are using pdm in your own project, then you can use:

cd <your-pdm-project>
pdm add uqtils

You can also quickly set up a development environment with:

# After forking this project on Github...
git clone https://github.com/<your-username>/uqtils.git
cd uqtils
pdm install  # reads pdm.lock and sets up an identical venv

import numpy as np
import uqtils as uq

ndim, nsamples = 3, 1000

mu = np.random.rand(ndim)
cov = np.eye(ndim)

samples = uq.normal_sample(mu, cov, nsamples)
fig, ax = uq.ndscatter(samples)

See the contribution guidelines.

^{_{Made with the UQ pdm template.}}