Python Libraries For Data Science in 2025

Python Libraries For Data Science Matplotlib, NumPy, Pandas, Scikit-learn, SciPy, Seaborn, TensorFlow, Keras, PyTorch.
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1. A Python plotting library for
creating animated, interactive,
and static displays.
A data manipulation and analysis
package that provides structured
data handling tools like
DataFrames
A simple library for numerical
computing that offers support for
mathematical operations, arrays,
and matrices.
Google developed a deep
learning framework for neural
network construction and training.
An advanced neural networks API
built on top of TensorFlow that
facilitates the creation and testing
of deep learning models.
A well-liked open-source machine
learning framework for deep
learning research and
development.
A Matplotlib-based data
visualization library that offers a
high-level interface for making
educational statistics visuals.
A library for machine learning that
offers methods for dimensionality
reduction, clustering, regression,
classification, and prototype
selection.
A library for technical and
scientific computing that includes
modules for linear algebra,
integration, optimization, and
other topics.
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PYTHON LIBRARIESPYTHON LIBRARIES
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