Cris Hernandez crishernandezmaps

## dabblet.css
/**
 * The first commented line is your dabblet’s title
 */

background: #f06;
background: linear-gradient(45deg, #f06, yellow);
min-height: 100%;

#hola {
background:#000;

## twitter_collect.js
#!/usr/bin/env node

var OAuth = require('oauth').OAuth;
var colors = require('colors');

var access_token = null;
var access_token_secret = null;
var key = null;
var secret = null;

## tweet_dumper.py
#!/usr/bin/env python
# encoding: utf-8

import tweepy #https://github.com/tweepy/tweepy
import csv

#Twitter API credentials
consumer_key = ""
consumer_secret = ""
access_key = ""

## tweetables.py
#!/usr/bin/env python
# encoding: utf-8
"""
Split a text into sentences shorter than 140 characters.

You'll need to first install TextBlob by running:
pip install -U textblob

Then stick your text into the text bit below and run this script:
python tweetables.py

## README.md

      
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                crishernandezmaps
                / README.md
            
            
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    README is empty

  
## media-query.css

/*
  ##Device = Desktops
  ##Screen = 1281px to higher resolution desktops
*/

@media (min-width: 1281px) {

  //CSS


## twitter_video_collector
#!/usr/bin/env python3
import tweepy
from config import *
import csv
import unidecode
import time
import datetime
from datetime import timedelta
from timeloop import Timeloop
import bs4 as bs

## down_video
#!/usr/bin/env python3
import pandas as pd
import sys
import os, glob
import wget

file_with_links = sys.argv[1]

def to_extract(file_with_links=file_with_links):
    cols = ['user','timeStamp','media','hashtag']

## caf_test_basemap
{"datasets":[{"version":"v1","data":{"id":"uzjzuwccb","label":"rutas_n.csv","color":[143,47,191],"allData":[["Somalia-Libia",3.86425,46.75781,32.80574,13.0957,500],["Malí-Lampedusa",16.72038,-2.94433,36.91476,12.1289,350],["Malí-Túnez y Malí-Marruecos",16.72038,-2.94433,36.91476,-5.053,5000],["Senegal-Marruecos",14.47723,17.72167,35.74651,-5.05371,10000]],"fields":[{"name":"name","type":"string","format":"","analyzerType":"STRING"},{"name":"origin_lat","type":"real","format":"","analyzerType":"FLOAT"},{"name":"origin_lon","type":"real","format":"","analyzerType":"FLOAT"},{"name":"destiniy_lat","type":"real","format":"","analyzerType":"FLOAT"},{"name":"destiniy_lon","type":"real","format":"","analyzerType":"FLOAT"},{"name":"population","type":"integer","format":"","analyzerType":"INT"}]}}],"config":{"version":"v1","config":{"visState":{"filters":[],"layers":[{"id":"j13524","type":"point","config":{"dataId":"uzjzuwccb","label":"origin","color":[255,203,153],"columns":{"lat":"origin_lat","lng":"origin_lon","alti

## test_data.json

      
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                crishernandezmaps
                / test_data.json
            
            
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              May 5, 2021 03:58
            
          
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	/**
	* The first commented line is your dabblet’s title
	*/

	background: #f06;
	background: linear-gradient(45deg, #f06, yellow);
	min-height: 100%;

	#hola {
	background:#000;
	#!/usr/bin/env node

	var OAuth = require('oauth').OAuth;
	var colors = require('colors');

	var access_token = null;
	var access_token_secret = null;
	var key = null;
	var secret = null;
	#!/usr/bin/env python
	# encoding: utf-8

	import tweepy #https://github.com/tweepy/tweepy
	import csv

	#Twitter API credentials
	consumer_key = ""
	consumer_secret = ""
	access_key = ""
	#!/usr/bin/env python
	# encoding: utf-8
	"""
	Split a text into sentences shorter than 140 characters.

	You'll need to first install TextBlob by running:
	pip install -U textblob

	Then stick your text into the text bit below and run this script:
	python tweetables.py

	/*
	##Device = Desktops
	##Screen = 1281px to higher resolution desktops
	*/

	@media (min-width: 1281px) {

	//CSS
	#!/usr/bin/env python3
	import tweepy
	from config import *
	import csv
	import unidecode
	import time
	import datetime
	from datetime import timedelta
	from timeloop import Timeloop
	import bs4 as bs
	#!/usr/bin/env python3
	import pandas as pd
	import sys
	import os, glob
	import wget

	file_with_links = sys.argv[1]

	def to_extract(file_with_links=file_with_links):
	cols = ['user','timeStamp','media','hashtag']