satomacoto

    def setup_vpc(self):
        self.vpc = aws_ec2.Vpc(
            self,
            "efs-testvpc",
            nat_gateways=0,
            subnet_configuration=[
                aws_ec2.SubnetConfiguration(
                    name="efs-testsubnet-public",
                    subnet_type=aws_ec2.SubnetType.PUBLIC,
                ),

satomacoto

satomacoto

import json

from urllib.request import urlopen
from urllib.request import Request
from urllib.parse import urlencode

# set username, password, auth_url, api_url
params = urlencode({"username": username, "password": password}).encode()

# get token

satomacoto

import shutil
import tempfile

from app.models import Record

# %%

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

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

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(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" },

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# 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

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')