Here is some text before the React component.
<div id="my-react-component"></div>
Here is some text after the React component.
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 |
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 |
#!/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. |