correlcalc: A `Generic' Recipe for Calculation of Two-point Correlation
  function
  This article provides a method for quick 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 fast on a low-spec desktop computer, this `recipe' can be used
for quick validation of alternative models and for pedagogical purposes.
