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Latest: Python 3.12.6
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Prioritizing cutting-edge speed and supporting the rapid growth of Hudson River Trading’s codebase can have unintended effects that require innovative solutions. For those working on our Python codebase, this means addressing “code tangling,” the coupling of unrelated code through unintuitive import cycles. In this article, George Farcasiu, Noah Kim, Jacob Brugh, and Jiahao Li discuss how they mitigate the cost and time burden of this issue by creating new tools to analyze and untangle dependencies efficiently.
Building a Dependency Graph of Our Python Codebase by George Farcasiu, Noah Kim, Jacon Brugh, Jiahao Li |
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>>> Python Software Foundation
The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers. Learn more