GabrielSGoncalves

from typing import Union, Dict
from io import BytesIO, StringIO
import json
import pandas as pd
import requests
from pydrive2.auth import GoogleAuth
from pydrive2.drive import GoogleDrive

def read_private_file_from_gdrive(
    file_url: str, file_format: str, google_auth: GoogleAuth, **kwargs

donhector

<Configuration>
  <Add OfficeClientEdition="64" Channel="PerpetualVL2019" ForceUpgrade="TRUE">
    <Product ID="ProPlus2019Volume" PIDKEY="NMMKJ-6RK4F-KMJVX-8D9MJ-6MWKP">
      <Language ID="MatchOS" />
      <!-- If you need , comment it. -->
      <!-- <ExcludeApp ID="Word" /> -->
      <!-- <ExcludeApp ID="Excel" /> -->
      <!-- <ExcludeApp ID="PowerPoint" /> -->
      <ExcludeApp ID="Access" />
      <ExcludeApp ID="Groove" />

joshbuchea

(() => {
  let count = 0;

  function getAllButtons() {
    return document.querySelectorAll('button.is-following') || [];
  }

  async function unfollowAll() {
    const buttons = getAllButtons();

brunolemos

(() => {
  let count = 0;

  function getAllButtons() {
    return document.querySelectorAll('button.is-following') || [];
  }

  async function unfollowAll() {
    const buttons = getAllButtons();

chmodsss

import csv
import numpy as np
from collections import Counter
from nltk.corpus import brown
from mittens import GloVe, Mittens
from sklearn.feature_extraction import stop_words
from sklearn.feature_extraction.text import CountVectorizer


def glove2dict(glove_filename):

igponce

@startuml Kanban Board

caption "Kanban board for 2019.12.19"


rectangle stack_TODO as "To-do" {

    node Task3  [
        ** Task Name **
        ====

stormwild

Visual Studio Code as Diff Tool

Comparing files using the command line Using Visual Studio Code

"%LOCALAPPDATA%\Programs\Microsoft VS Code\code.exe" --diff file1.cs file2.cs

Using Visual Studio Code Insiders

evan-burke

# Use Pandas & SQLAlchemy.
# https://stackoverflow.com/questions/23103962/how-to-write-dataframe-to-postgres-table

# Note this will create a new table; see the 'faster option' at the above link for a method using 'copy' to an existing table.
# However, 'copy' cannot do an upsert; that requires inserting to a temp table, then upserting form temp table to destination table.

# This will lack PKs and FKs and indexes, of course, so if used naively you may see data duplication.

# Also the df.to_sql command can do an append (but not upsert), using the if_exists param:
# https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_sql.html

artificialsoph

Log into your server with ssh, something like

ssh -i "my_secret.pem" [email protected]

If it's a new server, you'll need to install a few things.

Install conda with

kaze

#!/usr/bin/env bash
# https://developers.supportbee.com/blog/setting-up-cucumber-to-run-with-Chrome-on-Linux/
# https://gist.github.com/curtismcmullan/7be1a8c1c841a9d8db2c
# http://stackoverflow.com/questions/10792403/how-do-i-get-chrome-working-with-selenium-using-php-webdriver
# http://stackoverflow.com/questions/26133486/how-to-specify-binary-path-for-remote-chromedriver-in-codeception
# http://stackoverflow.com/questions/40262682/how-to-run-selenium-3-x-with-chrome-driver-through-terminal
# http://askubuntu.com/questions/760085/how-do-you-install-google-chrome-on-ubuntu-16-04

# Versions
CHROME_DRIVER_VERSION=`curl -sS chromedriver.storage.googleapis.com/LATEST_RELEASE`