Yes! An easy way to do this will be using numpy.linspace
Numpy Docs
numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None)
Return evenly spaced numbers over a specified interval.
Returns num evenly spaced samples, calculated over the interval [start, stop].
The endpoint of the interval can optionally be excluded.
Example:
[In 1] np.linspace(start=0, stop=50, num=5)
[Out 1] array([ 0. , 12.5, 25. , 37.5, 50. ])
Notice that the distance between the start and stop values is evenly spaced, i.e. evenly divided by num=5.
For those having problems installing numpy (a problem less common these days), you might look in to using anaconda (or miniconda), or some other similar distribution.