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def set_seed(seed):
    random.seed(seed)
    os.environ['PYTHONHASHSEED'] = str(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed(seed)
    torch.backends.cudnn.deterministic = True

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import pandas as pd
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
pd.set_option('display.max_colwidth', -1)

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Keyboard Shortcut               Action
Windows key                     Open or close Start Menu.
Windows key + A                 Open Action center.
Windows key + C                 Open Cortana in listening mode.
Windows key + D                 Display and hide the desktop.
Windows key + E                 Open File Explorer.
Windows key + G                 Open Game bar when a game is open.
Windows key + H                 Open the Share charm.
Windows key + I                 Open Settings.
Windows key + K                 Open the Connect quick action.

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(fa1043)$ conda install ipykernel
(fa1043)$ python -m ipykernel install --user --name fa1043

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kjupyter() {
    docker run  --runtime=nvidia --ipc=host -v $PWD:/tmp/working -v /data:/tmp/working/data -w=/tmp/working -p 8888:8888 --rm -it kaggle/python-gpu-build bash -c "pip install tornado==4.5.3; export LD_LIBRARY_PATH=/usr/local/cuda/lib64; pip install jupyter_contrib_nbextensions; pip install jupyter_nbextensions_configurator; jupyter contrib nbextension install --user; jupyter nbextension enable toc2/main --user; jupyter notebook --notebook-dir=/tmp/working --ip='*' --port=8888 --no-browser --allow-root"
}

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%load_ext autoreload
%autoreload 2
%matplotlib inline
%config InlineBackend.figure_format = 'retina'

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

pd.set_option('max_colwidth',500)