Ewen2015

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# =============================================================
# Basic
import os

# Fundamental Libraries for Scientific Computing
import numpy as np
import pandas as pd
import scipy as sp

Ewen2015

require(caret)
 
trans = preProcess(X, c("BoxCox", "center", "scale"))
predictorsTrans = data.frame(trans = predict(trans, X))

Ewen2015

import argparse
import psutil
import tensorflow as tf
from typing import Dict, Any, Callable, Tuple

## Data Input Function
def data_input_fn(data_param,
                  batch_size:int=None,
                  shuffle=False) -> Callable[[], Tuple]:
    """Return the input function to get the test data.

Ewen2015

import plotly.io as pio
pio.renderers.default = 'iframe'

Ewen2015

pip install jupyter lab
jupyter notebook --generate-config

cd ~/.jupyter
vi jupyter_notebook_config.py

# # The IP address the notebook server will listen on. 
# c.NotebookApp.ip = '0.0.0.0' # default value is 'localhost'
# c.NotebookApp.open_browser = False # default value is True

Ewen2015

function generate_ssh_key () {
    read -p "Enter github email : " email
    echo "Using email $email"
    
    ssh-keygen -t ed25519 -C "$email"
    eval "$(ssh-agent -s)"
    ssh-add ~/.ssh/id_ed25519
    
    pub=`cat ~/.ssh/id_ed25519.pub`
    echo "$pub"