Libraries
In Data Science, libraries refer to pre-written code modules that contain a set of functions and methods that can be imported and used in a program. These libraries provide a set of tools and algorithms that can be used to perform various tasks such as data manipulation, analysis, visualization, and machine learning. Libraries are an essential part of the Data Science ecosystem as they help in reducing the development time and effort required to build complex applications. Some popular libraries in Data Science include NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and Keras.
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