human
...y es Python puro!
Truco: numba

Cuarto: ¡vamos a Marte!"
Please write code following the instructions in jupyter notebook style.
 What is a code to?
assistant
#Here is code to .

def go_to_mars(offset=500., tof_=6000.):
    # Initial data
    N = 50

    date_launch = time.Time('2016-03-14 09:31', scale='utc') + ((offset - 500.) * u.day)
    date_arrival = time.Time('2016-10-19 16:00', scale='utc') + ((offset - 500.) * u.day)
    tof = tof_ * u.h

    # Calculate vector of times from launch and arrival Julian days
    jd_launch = date_launch.jd
    jd_arrival = jd_launch + tof.to(u.day).value
    jd_vec = np.linspace(jd_launch, jd_arrival, num=N)

    times_vector = time.Time(jd_vec, format='jd')
    rr_earth, vv_earth = ephem.planet_ephem(ephem.EARTH, times_vector)
    rr_mars, vv_mars = ephem.planet_ephem(ephem.MARS, times_vector)
    # Compute the transfer orbit!
    r0 = rr_earth[:, 0]
    rf = rr_mars[:, -1]

    (va, vb), = iod.lambert(Sun.k, r0, rf, tof)

    ss0_trans = State.from_vectors(Sun, r0, va, date_launch)
    ssf_trans = State.from_vectors(Sun, rf, vb, date_arrival)
    # Extract whole orbit of Earth, Mars and transfer (for plotting)
    rr_trans = np.zeros_like(rr_earth)
    rr_trans[:, 0] = r0
    for ii in range(1, len(jd_vec)):
        tof = (jd_vec[ii] - jd_vec[0]) * u.day
        rr_trans[:, ii] = ss0_trans.propagate(tof).r

    # Better compute backwards
    jd_init = (date_arrival - 1 * u.year).jd
    jd_vec_rest = np.linspace(jd_init, jd_launch, num=N)

    times_rest = time.Time(jd_vec_rest, format='jd')
    rr_earth_rest, _ = ephem.planet_ephem(ephem.EARTH, times_rest)
    rr_mars_rest, _ = ephem.planet_ephem(ephem.MARS, times_rest)
    # Plot figure
    # To add arrows:
    # https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/streamplot.py#L140
    fig = plt.figure(figsize=(10, 10))
    ax = fig.add_subplot(111, projection='3d')

    def plot_body(ax, r, color, size, border=False, **kwargs):
        """Plots body in axes object.

        """
        return ax.plot(*r[:, None], marker='o', color=color, ms=size, mew=int(border), **kwargs)

    # I like color
    color_earth0 = '#3d4cd5'
    color_earthf = '#525fd5'
    color_mars0 =...