Solid practical tutorial on measuring cognitive complexity in Python projects using complexipy. If you're building ML pipelines or maintaining AI codebases, tracking complexity metrics can help catch maintainability issues before they spiral. The visualization approach here makes it easy to spot problem areas at a glance.
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A Coding, Data-Driven Guide to Measuring, Visualizing, and Enforcing Cognitive Complexity in Python Projects Using complexipy
In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to individual files and an entire project directory. Along the way, we generate machine-readable reports, normalize them into structured DataFrames, and visualize complexity distributions to understand how […] The post A Coding, Data-Driven Guide to Measuring, Visualizing, and Enforcing Cognitive Comp
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