Python Libraries

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Python Libraries

Python libraries are collections of functions and methods that allow developers to perform various tasks without having to write all the code from scratch. Each library contains numerous useful modules that can be imported into projects, making programming more efficient and manageable. Unlike some programming languages, Python libraries are not context-specific, meaning they can be used across different applications.

Some of the most popular Python libraries include NumPy, Pandas, Matplotlib, SciPy, TensorFlow, and PyTorch. For instance, NumPy is essential for numerical calculations and supports multi-dimensional arrays, while Pandas is excellent for data manipulation and analysis. Matplotlib is widely used for creating visualizations, and TensorFlow and PyTorch are popular in the field of machine learning and deep learning.

To use these libraries, you typically install them using pip, Python’s package manager, and then import them into your scripts to leverage their functionalities ¹²³⁴.

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