resample: use the bootstrap and jackknife from Python

We present the resample package, which implements the resampling methods jackknife and Efron's bootstrap. Both are computationally intensive but highly general tools to compute biases and variances of estimators. The bootstrap allows one to compute the full covariance matrix for the output of an arbitrarily complex estimation problem, such as a multi-parameter fit, and confidence intervals for those parameters.