The methodology involved selecting and analyzing 895 Python repositories from GitHub and 51 curated MicroPython projects. Dependencies were downloaded, and source code was filtered to focus on production code and crypto usages. A comparative analysis with Java and C codebases was also conducted to understand crypto misuses across different languages.