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Best Python Libraries for Data Science in 2025

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Turing
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Frequently Asked Questions

Which Python library is used for data science?

There are several Python libraries for data science, including Pandas, NumPy, Matplotlib, Seaborn, scikit-learn, SciPy, and Keras.

How many libraries are useful in Python for data science?

With over 137,000 libraries, each has unique functions and applications that are important for different aspects of data science. For example, Pandas is used for loading and working with data, NumPy is used for mathematical transformations and calculations, Matplotlib and Seaborn offer various types of visualizations, Keras is a deep learning library, and so on.

Is Pandas a data science library?

Pandas is arguably the most popular data science package since it is equipped with tools and methods to work with all types of data. It has applications in many fields like data analysis, machine learning, deep learning, etc.

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