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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def quadratic_bezier(start, end, c0=(0, 0), c1=(0, 0), steps=50):
 """ Compute quadratic bezier spline given start and end coordinate and two control points. """

    steps = np.linspace(0, 1, steps)
    sx, sy = start
    ex, ey = end
    cx0, cy0 = c0
    cx1, cy1 = c1
    xs = ((1-steps)**3*sx + 3*((1-steps)**2)*steps*cx0 +
          3*(1-steps)*steps**2*cx1 + steps**3*ex)
    ys = ((1-steps)**3*sy + 3*((1-steps)**2)*steps*cy0 +
          3*(1-steps)*steps**2*cy1 + steps**3*ey)
    return np.column_stack([xs, ys])