list.csv

1
2
3

list.json

[
  1,
  2,
  3
]

list.npy

“NUMPY
 F {'descr': '<i4', 'fortran_order': False, 'shape': (3,), }            
sjbgojsnbgsdhngodshnfgopsnogisdgnsobgis

saving_list.py

your_list = [1, 2, 3]

# using csv module
import csv

# write it
with open('list.csv', 'w') as f:
    writer = csv.writer(f)
    writer.writerows(your_list)

# read it 
with open('list.csv') as f:
    reader = csv.reader(f)
    your_list2 = list(reader)

    
# using json
import json

# write it
with open('list.json', 'w') as f:
    json.dump(your_list, f, indent=2)  # the indent argument isn't necessary, just makes it easier for humans to read the file

# read it
with open('list.json') as f:
    your_list2 = json.load(f)
    
# using numpy
import numpy as np

# write it
np.save('list.npy', your_list)  # creates a file which can't be read by humans but numbers are full precision

# read it
your_list2 = np.load('list.npy')