Data Science Libraries
Data Science Libraries are collections of tools, algorithms, and functions that are specifically designed to help data scientists analyze, manipulate, and visualize data in order to extract meaningful insights and make informed decisions. These libraries often include a wide range of functions for tasks such as data cleaning, transformation, statistical analysis, machine learning, and data visualization. Popular examples of data science libraries include NumPy, Pandas, Scikit-learn, Matplotlib, and TensorFlow.