javathunderman

# Import csv
import csv
# Import os
import os

# Main Function
def main():
    # Open dataset file
    dataset = open('dataset.csv', newline='')

javathunderman

import hashlib as hasher
import datetime as date

# Define what a Snakecoin block is
class Block:
  def __init__(self, index, timestamp, data, previous_hash):
    self.index = index
    self.timestamp = timestamp
    self.data = data
    self.previous_hash = previous_hash

javathunderman

import requests
import json
uname = input("Username or channel ID\n")
APIkey = ""
if("U" == uname[0]):
    channelID = uname
else:
    IDlookup = requests.get("https://www.googleapis.com/youtube/v3/channels?key=" + APIkey + "&forUsername=" + uname + "&part=id&type=video")
    IDClean = IDlookup.json()
    channelID = IDClean['items'][0]['id']

javathunderman

# Script for quickly converting DICOM images to ordered JPG images for machine learning. 

import os
for fileName in os.listdir("."):
    noe = os.path.splitext(fileName)[0]
    if(noe == "convert"):
        continue
    os.system("convert " + fileName + " " + noe + ".jpg")
    os.remove(noe+".dcm")
for fileName1 in os.listdir("."):