satomacoto

import shutil
import tempfile

from app.models import Record

# %%

%%time
with tempfile.NamedTemporaryFile() as tmp:
    record = Record.objects.first()

satomacoto

#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Viterbi algorithm
# http://en.wikipedia.org/wiki/Viterbi_algorithm
#
# > python viterbi.py
#            0       1       2
# Rainy:  0.06000 0.03840 0.01344
# Sunny:  0.24000 0.04320 0.00259
# (0.01344, ['Sunny', 'Rainy', 'Rainy'])

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import base64
import cv2
from PIL import Image

cap = cv2.VideoCapture(0)
_, img = cap.read()
image_string = cv2.imencode(".png", img)[1].tostring()

output = io.BytesIO()
Image.fromarray(img).save(output, format='PNG')

satomacoto

import shutil
import requests

def download(url, dst):
    response = requests.get(url, stream=True)
    with open(str(dst), 'wb') as out_file:
        shutil.copyfileobj(response.raw, out_file)
    del response

satomacoto

1. https://api.slack.com/apps
2. Create New App
3. Set App Name and Development Slack Workspace
4. Tap App to move Building Apps for Slack
5. Add features and functionality
6. Select Incoming Webhooks
7. Add New Webhook to Workspace

satomacoto

#!/usr/bin/env python
# -*- coding:utf-8 -*-
# extract YouTube videoids from html

import re
import json
import urllib2
from BeautifulSoup import BeautifulSoup

def get_videoids(url):

satomacoto

(function() {
  var language_info = {
    languages_top: [
      { code: "de", name: "Deutsch" },
      { code: "en", name: "English", checked: true },
      { code: "es", name: "español" },
      { code: "es-419", name: "español (Latinoamérica)" },
      { code: "fr", name: "français" },
      { code: "hr", name: "hrvatski" },
      { code: "it", name: "italiano" },

satomacoto

# install node & npm
apt-get install -y nodejs npm apt-transport-https
npm cache clean
npm install n -g
n stable
ln -sf /usr/local/bin/node /usr/bin/node
ln -sf /usr/local/bin/npm /usr/bin/npm

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import seaborn as sns

colorDict = {}
palette = "hls"
colorPalette = sns.color_palette(palette, len(allLabels))
for i, label in enumerate(allLabels):
    colorDict[label] = colorPalette[i]

satomacoto

# -*- coding: utf-8 -*-


import gensim
from sklearn.feature_extraction.text import CountVectorizer
from gensim.corpora.dictionary import Dictionary
from gensim.corpora import MmCorpus
import numpy as np
import lda