ParzivalWins

Infrastructure as Code

ParzivalWins

{function: t2.micro 
    }

ParzivalWins

Verifying that "parzival.id" is my Blockstack ID. https://onename.com/parzival

ParzivalWins

Keybase proof

I hereby claim:

• I am parzivalwins on github.
• I am parzival (https://keybase.io/parzival) on keybase.
• I have a public key ASBy93CfTJs_09EpRT-YHeKQHaoM7bcYLY72GH4Lf_-j7wo

To claim this, I am signing this object:

ParzivalWins

SELECT 
  ROUND((input_value - output_value)/ size, 0) AS fees_per_byte,
  COUNT(*) AS txn_cnt
FROM
  `bigquery-public-data.crypto_bitcoin.transactions`
WHERE TRUE
  AND block_timestamp >= '2018-01-01' 
  AND is_coinbase IS FALSE
GROUP BY 1

ParzivalWins

WITH double_entry_book AS (
    -- debits
    SELECT
      ARRAY_TO_STRING(inputs.addresses, ",") AS address
    , inputs.type
    , -inputs.value AS value
    FROM `bigquery-public-data.crypto_bitcoin_cash.transactions` JOIN UNNEST(inputs) AS inputs
    WHERE block_timestamp_month = '2019-01-01'

    UNION ALL

ParzivalWins

import xml.etree.ElementTree as ET
import csv
import datetime

def convert_xml_to_csv(file_path):

    with open(file_path, 'rb') as fd:
        root = ET.parse(fd).getroot()
    
    records = []

ParzivalWins

console.log("Sanity Check: JS is working!");

$(document).ready(function(){

  // code in here

});
## Comment GPG Commit

ParzivalWins

#FROM ubuntu
#ADD . /app
#RUN apt-get update
#RUN apt-get upgrade -y
# we should remove ssh and mysql, and use
# separate container for database 
#RUN apt-get install -y nodejs  # ssh mysql
#RUN cd /app && npm install
#FROM ubuntu:16.04 #version of ubuntu
#RUN apt-get update && apt-get install -y nodejs 

ParzivalWins

import requests
download_url = "https://raw.githubusercontent.com/fivethirtyeight/data/master/nba-elo/nbaallelo.csv"
target_csv_path = "nba_all_elo.csv"
response = requests.get(download_url)
response.raise_for_status()    # Check that the request was successful
with open(target_csv_path, "wb") as f:
    f.write(response.content)
print("Download ready.")
import pandas as pd
nba = pd.read_csv("nba_all_elo.csv")