Found some performance optimizations

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Saurabh Misra

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Jul 26, 2024, 7:45:31 AM7/26/24
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Hi all,

I am an algorithms researcher and I am building a general purpose code optimization program. It figures out the best way to write a particular code for maximal performance, without changing the behavior of code. I have previously sped up libraries like Pydantic using this.

I found a bunch (15-20) of high impact optimizations for networkx Python code that I think every user of networkx would benefit from it. How do I go about opening the PRs? I am also trying to understand how networkx thinks about performance. Do you like micro-optimizations (where they make sense) or do you only like larger algorithmic optimizations?

I would also love collaborate with to review and merge these optimizations in.

Thank you,
Saurabh
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