[Reproducibility In Data Science] #Python

aNote.py

# cite: https://www.youtube.com/watch?v=Ys8ofBeR2kA

# Run python or jupyter with
# $ PYTHONHASHSEED=0 jupyter notebook
# $ PYTHONHASHSEED=0 python code.py

# check
if os.environ.get("PYTHONHASHSEED") != "0":
    raise Exception("You must set PYTHONHASHSEED=0 when starting the Jupyter server to get reproducible results.")
    
import random

random.seed(42)

import numpy as np

np.random.seed(42)


import tensorflow as tf

tf.set_random_seed(42)

# check for other library as well