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Possibilities for creating programs with Python for graph processing in Tinkerpop

I'm just starting out with Tinkerpop and looking for the best way to achieve the following:

  • in the beginning, there is a small 'starting-graph'
  • a couple of scripts, each having some functions, will interact with this graph
  • each script will:
  • 1) read and interpret nodes, edges, their attributes and ideally also perform some network metrics to understand the 'current structure'
  • 2) based on rules in the functions, update (properties of) nodes & edges
  • within each script, there is also some interaction between the functions, in terms of "if these nodes are >x, call function B"
  • the problem-set is actually a bit larger than this..

But understanding how to work on (simultaneously running instances of) scripts for graph traversal / interpretation / updating is already very valuable.

I prefer to use Python, but willing to dive into other things if needed :)

Solution

  • I would recommend spending some time getting familiar with Gremlin.

    The Apache TinkerPop project includes support for Python. You can find details here [1] and can install using Pip. You may also find the information at [2] useful as well as the official TinkerPop docs.

    [1] http://tinkerpop.apache.org/docs/current/reference/#gremlin-python

    [2] https://github.com/krlawrence/graph