The answer
PyTorch is currently preferred by researchers and developers due to its pythonic nature and dynamic graphs. TensorFlow is widely used in legacy enterprise systems.
Essential Python Libraries for Machine Learning and Data Science
Which is better: PyTorch or TensorFlow?
More FAQs in Essential Python Libraries for Machine Learning and Data Science
NumPy focuses on numerical arrays and low-level math, while Pandas provides high-level data frames for structured tabular data analysis.
No, Scikit-Learn is designed for classical ML. For deep learning, PyTorch or TensorFlow are used.
Hugging Face is an ecosystem and library (Transformers) providing pre-trained models for NLP, vision, and audio tasks.
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