NumPy Best Practices

NumPy is the fundamental package for scientific computing with Python. It provides N-dimensional array objects, vectorized math operations, broadcasting, linear algebra, Fourier transforms, and random number generation. This skill covers best practices for writing correct, efficient, and maintainable NumPy code.

Import Convention

Always import NumPy with the standard alias:

import numpy as np

Never use from numpy import * — it pollutes the namespace and makes code harder to read.

Array Creation

Choose the right creation function