why-not

My Observable Framework Document

Here is some text before the React component.

<div id="my-react-component"></div>

Here is some text after the React component.

why-not

Rank Country Name                                             PageRank
------------------------------------------------------------------------
1.    Namibia                                              0.1569
2.    China                                                0.0147
3.    Russian Federation                                   0.0119
4.    Brazil                                               0.0099
5.    Germany                                              0.0085
6.    France                                               0.0084
7.    Zambia                                               0.0083
8.    Saudi Arabia                                         0.0078

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.