Aditi Juneja – Understanding API Dispatching in NetworkX | PyData Global 2024
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Hi! Have you ever wished your pure Python libraries were faster? Or wanted to fundamentally improve a Python library by rewriting everything in a faster language like C or Rust? Well, wish no more… NetworkX’s backend dispatching mechanism redirects your plain old NetworkX function calls to a FASTER implementation present in a separate backend package by leveraging the Python’s entry_point specification!
NetworkX is a popular, pure Python library used for graph(aka network) analysis. But when the graph size increases (like a network of everyone in the world), then NetworkX algorithms could take days to solve a simple graph analysis problem. So, to address these performance issues, a backend dispatching mechanism was recently developed. In this talk, we will unveil this dispatching mechanism and its implementation details, and how we can use it just by specifying a backend kwarg like this:
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