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NumPy serves as a versatile array processing package, adept at managing n-dimensional arrays and equipped with a wide array of computational tools, including extensive mathematical functions and linear algebra routines.

Pandas, an open-source tool built on Python, simplifies data analysis and manipulation, offering a user-friendly interface for these tasks.

Scikit-learn, a machine learning library, empowers users with straightforward and efficient tools for predictive data analysis. Supporting both supervised and unsupervised learning, it encompasses functionalities for model fitting, data preprocessing, model selection, model evaluation, and a host of other valuable utilities.