List python libraries use for data science

Data Processing and Model Deployment NumPy NumPy is a library used for numerical computing in Python. It provides fast array computations and is used for performing mathematical operations on arrays and matrices. Website: https://numpy.org/ Pandas Pandas is a library used for data manipulation and analysis. It is used for reading, writing, and analyzing data in a tabular format. Website: https://pandas.pydata.org/ Scikit-learn Scikit-learn is a machine learning library used for building predictive models. It provides a wide range of tools for data preprocessing, feature extraction, and model selection. Website: https://scikit-learn.org/ TensorFlow TensorFlow is a popular library for building machine learning models, especially neural networks. It is widely used for deep learning tasks and provides tools for building, training, and evaluating models. Website: https://www.tensorflow.org/ Keras Keras is a high-level neural networks API, written in Python and capable of running on top