pandas simplifies reading and writing data from sources like SQL, CSV, and Excel, allowing data scientists to load, clean, and preprocess data for analysis quickly .
NumPy provides essential mathematical functions like trigonometry, statistics, and linear algebra, making it crucial for data manipulation and analysis.
Visualizing data is key to insights and communication. Matplotlib lets data scientists create line, scatter, bar plot, histogram, and more charts with minimal code.
scikit-learn's consistent API allows data scientists to train and evaluate machine learning models without being overwhelmed by complex implementation details.
Deep learning has transformed data science fields like computer vision, NLP, and reinforcement learning. TensorFlow and PyTorch simplify building and training deep neural networks.