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Top 5 Widely Used Python Libraries for Your Projects
NumPy: It is a library for scientific computing that provides high-performance multidimensional arrays and various tools to manipulate them.
NumPy: It is a library for scientific computing that provides high-performance multidimensional arrays and various tools to manipulate them.
Pandas: It is a library for data manipulation and analysis that offers data structures and operations for working with tabular and time-series data.
Matplotlib: It is a library for creating static, animated, and interactive plots and charts.
Scikit-learn: It is a library for machine learning that provides a range of algorithms and tools for classification, regression, clustering, dimensionality reduction, and more.
TensorFlow: It is a library for deep learning that allows you to build, train, and deploy neural networks and other models.
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