🧰 Tools used: pandas, json, standard Python file I/O. 🧠 Purpose: Prepare heterogeneous data for cleaning and transformation by integrating into a single DataFrame. Step 2: Data Cleaning. This step ...

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Ruff's linter draws on both the APIs and implementation details of many other tools in the Python ecosystem, especially Flake8, Pyflakes, pycodestyle, pydocstyle, pyupgrade, and isort.. In some cases, ...