Paper Info
Title
MatchPy: A Pattern Matching Library.
Abstract
Pattern matching is a powerful tool for symbolic computations, based on the well-defined theory of term rewriting systems. Application domains include algebraic expressions, abstract syntax trees, and XML and JSON data. Unfortunately, no lightweight implementation of pattern matching as general and flexible as Mathematica exists for Python Mathics,MacroPy,patterns,PyPatt. Therefore, we created the open source module MatchPy which offers similar pattern matching functionality in Python using a novel algorithm which finds matches for large pattern sets more efficiently by exploiting similarities between patterns.
Year
DOI
Venue
2017
10.25080/shinma-7f4c6e7-00b
arXiv: Programming Languages
Field
DocType
Volume
Programming language,XML,Computer science,Theoretical computer science,Rewriting,Abstract syntax,Algebraic expression,JSON,Pattern matching,Python (programming language),Computation
Journal
abs/1710.06915
Citations 
PageRank 
References 
2
0.46
8
Authors
3
Name
Order
Citations
PageRank
Manuel Krebber161.24
Henrik Barthels221.47
Paolo Bientinesi344853.91