Recommendations to others considering PyNLPl:
Users should focus on the documentation of PyNLPI to find for solutions rather than searching all over the Internet. It contains one of the most useful documentation on different modules that I have seen so far. Review collected by and hosted on G2.com.
What problems is PyNLPl solving and how is that benefiting you?
Various search algorithms for example : Breadth-first, depth-first, beam-search etc. are easy to implement using PyNLPI. and also there is added benefit of using extra datatypes (priority queues, tries etc.) Review collected by and hosted on G2.com.