fabsta

Metadata

#Selecting a database	
USE database;	USE database;

#Listing databases	
SHOW DATABASES;	SHOW DATABASES;

tsuemura

module.exports = {
  I: '我が名は神龍',
  actions: {
    waitForElement: '要素が表示されるまで待ってやろう',
    waitForClickable: 'クリック可能になるまで待ってやろう',
    waitForVisible: '要素が見えるようになるまで待ってやろう',
    waitForText: 'テキストが表示されるまで待ってやろう',
    refresh: 'ページを更新してやろう',
    amOnPage: 'URLにアクセスしてやろう',
    click: 'クリックしてやろう',

rshepherd

import java.util.Random;
 
public class Arrays {    
    public static void main(String[] args) {
        // Declaration style. 
        int arrayTwo[] = new int[3];
        int[] arrayOne = new int[3];   // This is better! []'s are part of the type!!

        // Indexing: We always refer to the first element of an array [0].
        // ex. subway example

tyarkoni

from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
from sklearn.pipeline import Pipeline
import pandas as pd
import numpy as np

# Grab just two categories from the 20 newsgroups dataset
categories=['sci.space', 'rec.autos']

anubhavsinha

# following Python packages needs to be installed 
# xlrd, xlsxrd, unidecode, MySQLdb

import xlrd
import xlsxrd
import MySQLdb as mdb
import re
import unidecode

glamp

import pandas as pd
# http://blog.yhathq.com/static/misc/data/WineKMC.xlsx
df_offers = pd.read_excel("./WineKMC.xlsx", sheetname=0)
df_offers.columns = ["offer_id", "campaign", "varietal", "min_qty", "discount", "origin", "past_peak"]
df_offers.head()

df_transactions = pd.read_excel("./WineKMC.xlsx", sheetname=1)
df_transactions.columns = ["customer_name", "offer_id"]
df_transactions['n'] = 1
df_transactions.head()

Integralist

import io
import logging

logger = logging.getLogger("your_logger")
logger.setLevel(logging.INFO)

logger_output = io.StringIO()
logger.addHandler(logging.StreamHandler(logger_output))

# do stuff that triggers some logs

tag1216

import time
from concurrent.futures import ThreadPoolExecutor
from logging import StreamHandler, Formatter, INFO, getLogger


def init_logger():
    handler = StreamHandler()
    handler.setLevel(INFO)
    handler.setFormatter(Formatter("[%(asctime)s] [%(threadName)s] %(message)s"))
    logger = getLogger()

qheuristics

to create a new environment

  conda create -n mynewenviron package1 package2 etc
  conda create -n newenv --clone ~anaconda  
  
to remove an environment

  conda remove -n myenvirontoremove --all
  
always start with

bellbind

#
# Get web page screenshot
#
# usage:
#   xvfb-run -s "-screen 0 1024x768x24" python getschreenshot.py test.html
#
# libs:
# - pygtk: http://www.pygtk.org/
# - pywebkitgtk(python-webkit): http://code.google.com/p/pywebkitgtk/
# - PIL: http://www.pythonware.com/products/pil/