0) Run jupyter notebook on your computer

jupyter notebook &

1) Import package lightcurve, later renamed as "lk"

import lightkurve as lk

2) Imports plotting package matplotlib, alter renamed as "plt"

import matplotlib.pyplot as plt

3) Search selected object (now "FI Boo") in the TESS cuts, see
https://docs.lightkurve.org/reference/api/lightkurve.search_tesscut.html

tpf = lk.search_tesscut('FI Boo')

N.B. This searches all sectors, alternatively 

tpf = lk.search_tesscut('FI Boo', sector=16)

or using coordinates

tpf = lk.search_tesscut('230.5213, +51.1766', sector=16)

4) print the results 

tpf

5) Downloading cutout for result number 3 wuth the sieze 15 pixels

tpf_cutout = tpf[3].download(cutout_size=15)

6) Creating terget mask with pixels more than 3 sigma above the background and printing the number of such pixels

target_mask = tpf_cutout.create_threshold_mask(threshold=3, reference_pixel='center')
n_target_pixels = target_mask.sum()
n_target_pixels

7) Creating ligh curve

target_lc = tpf_cutout.to_lightcurve(aperture_mask=target_mask)

8) Printing the light curve:

target_lc

9) Saving the light curve to a file: