NumPy: Fast Numerical Computing

The ndarray

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Why NumPy? The Case Against Pure Python Loops

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IN THIS LESSON

YOU’RE LEARNING TO

↗install NumPy and import it with the canonical alias

↗create arrays with np.array, np.arange, np.zeros, np.ones, and np.linspace

↗inspect and interpret dtype, shape, ndim, and size attributes

↗reshape an array without copying its data

↗explain why NumPy arrays are faster and more memory-efficient than Python lists for numerical work