why-not

First Citizen:
Before we proceed any further, hear me speak.

All:
Speak, speak.

First Citizen:
You are all resolved rather to die than to famish?

All:

why-not

import time
import pandas as pd
from googleapiclient.discovery import build

# Enter your API key here
api_key = "API KEY HERE"

# Create a service object for the YouTube API
youtube = build('youtube', 'v3', developerKey=api_key)

why-not

function addpythonpath {
    PYTHONPATH=$PYTHONPATH:`pwd`
    sed -i '' '/^PYTHONPATH/d' ~/.bashrc
    sleep .5
    echo PYTHONPATH=$PYTHONPATH >> ~/.bashrc
}

# install yt-dlp first for this to work.
# streams youtube videos via VLC.
function ytvlc {

why-not

import pandas as pd
import numpy as np

def style_dataframe(df, maxvals=None):
    result = df.style
    result.set_properties(**{'text-align': 'center'})
    result.set_properties(**{'font-family': 'monospace'})
    result.set_properties(**{'font-weight': 'bold'})   

    result.set_table_styles([  

why-not

# generate private key
openssl genrsa -out private_key.pem 4096

# extract public key 
openssl rsa -in private_key.pem -pubout > public_key.pub

# sign using private key
openssl dgst -sign private_key.pem -keyform PEM -sha256 -out VGG_ILSVRC_16_layers.caffemodel.sign -binary VGG_ILSVRC_16_layers.caffemodel

# extract using public key 

why-not

# command to install this library. 
# conda install pandas-datareader 


# example 1
import pandas_datareader as pdr
tsla = pdr.DataReader('tsla', data_source='google', start='2017-1-1')

# example 2 
# calculates the trailing stop order price, can be used for weight loss like time series as well. 

why-not

import json
import subprocess

"""EDIT FNAME TO UPDATE WITH YOUR LOCAL FILE PATH""" 
FNAME = "/PATH/To/SUBLIME/SFTP/FILE/sftp-config.json"


def update_json_file(given_ip, filename):
    jsonfile = open(filename, "r") # open the json file for reading
    data = json.load(jsonfile) # read the json into the buffer

why-not

#!/usr/bin/env python

# shell commands being automated.
# w 
# aws ec2 stop-instances --instance-id  INSTANCE_ID

""" 

The script is the easy part, installing it into the unfriendly(imo) cron system and 
making all the permissions and paths are set correctly is another issue altogether.

why-not

"""

The script is the easy part, installing it into the unfriendly(imo) cron system and 
making all the permissions and paths are set correctly is another issue altogether.
cron will default to run as a root, so your scripts will fail because it is not running 
in the correct python environment, also root might not have the paths for commands like 'python'
So best to run this in the user space where you are testing this script already. 
Here is a cron command to add to the current user's cron than doing it for root. 

sudo crontab -u ec2-user -e

why-not

from numpy import dot,array,empty_like
from matplotlib.path import Path

def make_path(x1,y1,x2,y2):
    return Path([[x1,y1],[x1,y2],[x2,y2],[x2,y1]])

def perp( a ) :
    b = empty_like(a)
 b[0] = -a[1]