Which programming languages and specialized libraries are mentioned as dominant tools for a materials informatics practitioner?
Answer
Python, supported by libraries like Pandas, NumPy, and Scikit-learn.
Python is cited as the dominant language, supported by essential libraries for data handling (Pandas), numerical operations (NumPy), and machine learning applications (Scikit-learn, TensorFlow, PyTorch).
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