The $numpy.linspace()$ function in NumPy is used to create evenly spaced numbers over a specified interval. It’s especially useful in numerical simulations, plotting, and mathematical computations where a range of values is needed.

The basic syntax is:

numpy.linspace(start, stop, num=50, endpoint=True, retstep=False)

• start and stop define the range.

• num specifies how many samples to generate (default is 50).

• endpoint=True includes the stop value; if set to False, it excludes it.

• retstep=True returns the step size along with the array.

For example, $np.linspace(0, 1, 5)$ returns $[0. , 0.25, 0.5 , 0.75, 1. ]$.

Unlike $np.arange()$, which uses a fixed step size, $linspace()$ ensures that the values are evenly distributed between the start and stop points, regardless of the interval size.