Kernel density estimation with a wrapper of scipy.stats.gaussian_kde.
Includes bounded domains using reflected samples.
Includes multiprocess density evaluations using tqdm-pathos. This is useful for KDEs fit to large sample sizes evaluated on a large set of points, which can be quicker than array evaluations.
pip install kaydee