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In a real-world scenario, especially with e-commerce data, you would likely use a database or data warehouse to store these features. When preparing data for machine learning models, you would convert these features into numerical representations that can be processed. For text features like product descriptions, you might use libraries like transformers from Hugging Face for BERT embeddings or traditional NLP techniques for simpler embeddings.