Python libraries are collections of functions and methods that allow developers to perform various tasks without having to write all the code from scratch. These libraries contain numerous useful modules that can be imported into projects, making programming more efficient and manageable. Essentially, a Python library is a reusable chunk of code that can be utilized 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 highly effective for data manipulation and analysis. Matplotlib is widely used for creating visualizations, and TensorFlow and PyTorch are prominent 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 harness their capabilities for your projects ¹²³⁴.