x = np.array([_ for _ in range(1000)]) This works, but its performance is hidebound by the time it takes for Python to create a list, and for NumPy to convert that list into an array.

NumPy, the mathematical library for Python, has received its first major release since 2006 with version 2.0.0. This not only offers new functions, but also performance improvements for Intel and ...

In general, np.linspace(a,b,n+1) creates n + 1 points, a 0, a 1, …, a n, starting at a and ending at b, each spaced out by Δ x = b − a n, where a k = a 0 + k Δ x. Building Random Arrays NumPy has a ...