NumPy: A powerful library for numerical computing in Python, including support for multi-dimensional arrays and mathematical functions.
pandas: A library for data manipulation and analysis, providing data structures and data analysis tools for handling and manipulating numerical tables and time series data.
SciPy: A library for scientific and technical computing in Python, including modules for optimization, signal processing, and statistics.
scikit-learn: A library for machine learning in Python, providing a wide range of algorithms for classification, regression, and clustering.
TensorFlow: An open-source library for machine learning, developed by Google, that allows for the deployment of computations to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Keras: An open-source library for building neural networks in Python, which runs on top of TensorFlow, Theano, and CNTK.
Matplotlib: A 2D plotting library for creating static, animated, and interactive visualizations in Python.
Seaborn: A library for creating statistical graphics and visualizations in Python, based on Matplotlib.
Plotly: A library for creating interactive, web-based visualizations in Python, including support for creating dynamic, data-driven visualizations.
Bokeh: A library for creating interactive visualizations for modern web browsers, it also allows visualizations in standalone HTML documents or server-backed apps.
