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Learning from other's mistakes: Data-driven analysis of Python code


Static code analysis is an useful tool that can help to detect bugs early in the software development life cycle. I will explain the basics of static analysis and show the challenges we face when analyzing Python code. I will introduce a data-driven approach to code analysis that makes use of public code and example-based learning and show how it can be applied to analyzing Python code.


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