# Library Best for 1 PyTorch The dominant deep learning framework — research & production, dynamic graphs, huge ecosystem 2 TensorFlow / Keras Deep learning with strong production tooling (TF Serving, TF Lite); Keras gives a clean high-level API 3 Hugging Face Transformers Pre-trained LLMs & transformer models (text, vision, audio) — download and fine-tune SOTA models 4 scikit-learn Classical ML — regression, classification, clustering, preprocessing pipelines 5 NumPy Foundational array/tensor math that nearly every other library is built on 6 pandas Data loading, cleaning, and manipulation — the backbone of any ML data pipeline 7 LangChain Building LLM-powered apps — RAG, agents, chains, tool integration...