correlcalc: A 'generic' recipe for calculation of two-point correlation function

This article presents a recipe for computation of galaxy two-point correlation function (2pCF) from redshift surveys using python. One of the salient features of this approach is that it can be used for calculating galaxy clustering for any arbitrary geometry (or Cosmology) model. Being efficient enough to run on a low-spec desktop computer for small datasets, this 'recipe' can be used for quick validation of alternative models and for pedagogical purposes.