Numpy properties

Numpy Properties
- Python Automation and Machine Learning for ICs -
- An Online Book -

Python Automation and Machine Learning for ICs http://www.globalsino.com/ICs/

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Data Science relies heavily on Linear Algebra. NumPy is famous for its linear algebra operations. The linear algebra module of NumPy offers various methods to apply linear algebra on any numpy array. NumPy package contains numpy.linalg module that provides all the functionality required for linear algebra.

Table 4737. Applications with Numpy.

	Application	Code
Vectorization	Implementing vectorized operations often involves using optimized linear algebra libraries (e.g., NumPy) that are highly efficient and take advantage of low-level optimizations.	BGD
Broadcasting	In NumPy, broadcasting is a powerful feature that allows operations between arrays of different shapes and sizes. When performing operations on arrays with different shapes, NumPy automatically broadcasts the smaller array to the shape of the larger array to facilitate the operation. In the example code, there is a 3 by m matrix and a 3 by 1 parameter vector.	code

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