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NumPy is a library for Python that supports adding large, multidimensional arrays and matrices, along with a wide set of mathematical functions for analyzing array data.

Python has lists that serve as arrays, but they are slow to process. A NumPy array object is designed to be up to 50x faster than traditional Python lists. In NumPy, the array object is called ndarray. It provides many functions that make working with ndarray very easy. Data science is heavily reliant on arrays due to the importance of speed and resources.

Essentially NumPy is known to provide direct python interfaces for accessing and manipulating the data. NumPy is a long-standing industry standard that is well known for its efficiency and power.

 

Learn how to convert DMatrix to NumPy format for your machine learning model.