Using Decimal Step Values in range()

Python's range() function allows for incrementing values within a specified range. However, when attempting to use a decimal step value, an error occurs as it cannot be zero.

To overcome this limitation, it is recommended to specify the step value as the number of points to be generated in the range. The NumPy library provides the linspace function which takes a number of points and an optional endpoint value. For instance:

import numpy as np
np.linspace(0, 1, 11)  # returns [0, 0.1, 0.2, ..., 1]
np.linspace(0, 1, 10, endpoint=False)  # returns [0, 0.1, 0.2, ..., 0.9]

If using a floating-point step value is necessary, numpy.arange can be used:

np.arange(0.0, 1.0, 0.1)  # returns [0, 0.1, 0.2, ..., 0.9]

However, floating-point rounding error can cause unexpected behavior:

np.arange(1, 1.3, 0.1)  # returns [1, 1.1, 1.2, 1.3] (incorrect due to rounding error)

Therefore, using NumPy's linspace function or specifying the number of points is preferred for generating ranges with decimal step values.