- why-not

## stop-idle-azure-aws.py
#!/usr/bin/env python

# shell commands being automated.
# w
# aws ec2 stop-instances --instance-id  INSTANCE_ID
# az vm deallocate --name NAME --resource-group RESOURCE_GROUP

"""

The script is the easy part, installing it into the unfriendly(imo) cron system and

## shutdown-idle-aws.py
#!/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.

## gist:4582705
"""making a dataframe"""
df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))

"""quick way to create an interesting data frame to try things out"""
df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd'])

"""convert a dictionary into a DataFrame"""
"""make the keys into columns"""
df = pd.DataFrame(dic, index=[0])

## shakespeare.txt
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:

## get_stats_youtube.py
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)

## useful_bash_functions.sh
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 {

## multiplication_tables.py
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([

## sign_verify.sh
# 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

## pandas_data_reader_example.py
# 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.

## aws-get_ip-update_sublime.py
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
	#!/usr/bin/env python

	# shell commands being automated.
	# w
	# aws ec2 stop-instances --instance-id INSTANCE_ID
	# az vm deallocate --name NAME --resource-group RESOURCE_GROUP

	"""

	The script is the easy part, installing it into the unfriendly(imo) cron system and
	"""making a dataframe"""
	df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))

	"""quick way to create an interesting data frame to try things out"""
	df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd'])

	"""convert a dictionary into a DataFrame"""
	"""make the keys into columns"""
	df = pd.DataFrame(dic, index=[0])
	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:
	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)
	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 {
	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([
	# 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
	# 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.
	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