jonathanmc

# this loads a JSON dump as for example from TWINT, and pulls out three fields, and then saves as TEXT.

import json

loadedjson = []
for line in open('TWEETS.json', 'r'):
    loadedjson.append(json.loads(line))

dates = []
tweets = []

jonathanmc

# Once you have pulled a JSON of tweets with TWINT, you can use this to plot per day.
# You need to feed it the file_to_open variable.

file_to_open = "FILENAME WITHOUT EXTENSION"

import nest_asyncio
from pandas.core.frame import DataFrame

# pandas to read our JSON/CSV file
import pandas as pd

jonathanmc

// ==UserScript==
// @name          Jureeka
// @namespace     http://www.jureeka.org
// @description   Turns legal citations in webpages into hyperlinks that direct you to online legal source material.
// ==/UserScript==

//  $Id: jureeka.js 1256 2012-02-13 19:06:16Z imad $

/*
  Warnings:

jonathanmc

# Python - 1. TEMPLATE including changing working dir. 2. Code scrapes all htm links on a page, put in a list, then downloads them.
# Python - scrape all links on a page, put in a list, then download them.

#!/usr/bin/env python3

# Change working dir
import os
project_path = '/home/WHATEVER'
try:
    os.chdir(project_path)