mathigatti

import numpy as np
import cv2

ON = 255
OFF = 0
N = 200

def rule(neighbours,rules):
    if neighbours in rules:
      return ON

mathigatti

from psychopy import visual, core, event
import datetime
import pandas as pd

# Colours
gray = '#969696'
black = '#000000'
white = '#FFFFFF'

# Window parameters

mathigatti

import requests
from bs4 import BeautifulSoup
import math
import sys

def number_of_results(text):
	headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
	r = requests.get("https://www.google.com/search?q="+text.replace(" ","+"),params={"gl":"us"},headers=headers)
	soup = BeautifulSoup(r.text, "lxml")
	res = soup.find("div", {"id": "resultStats"})

mathigatti

# Acceder a este archivo en: https://bit.ly/2OyyWr2
# (Prestar atención a mayusculas y minusculas)

# Tempo y escala
print(help(Scale))
Scale.default = Scale.minor

print(Clock.bpm)

# Que instrmentos hay

mathigatti

Intento de descripción del funcionamiento de algunos Comandos en TidalCycles (y en otros lados también)

Indice

1. Algoritmo Euclideano

2. Mixer Ritchse/Lil' Data/ Kindhom / Otres?

3. La Doble Booleana ft Martín Karadagian

mathigatti

from bs4 import BeautifulSoup
import requests
import os

letras_url = "https://www.letras.com"

def descargar_cancion(path):
    url = f"{letras_url}{path}"
    page = requests.get(url)
    soup = BeautifulSoup(page.content, 'html.parser')

mathigatti

### Keybase proof

I hereby claim:

  * I am mathigatti on github.
  * I am mathigatti (https://keybase.io/mathigatti) on keybase.
  * I have a public key ASC6UTYH0FvHsHHVGVrZYm9uCr8gWfWencCBnDnCZuok-Qo

To claim this, I am signing this object:

mathigatti

import math
from es_lemmatizer import lemmatize
import spacy
from nltk.tokenize import word_tokenize
from nltk import ngrams, FreqDist
from tqdm import tqdm
from collections import defaultdict
import unidecode
import sys
import os

mathigatti

from bs4 import BeautifulSoup
import requests
import os

def descargar_noticia(url):
    page = requests.get(url)
    soup = BeautifulSoup(page.content, 'html.parser')

    noticia = ""

mathigatti