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from datetime import date
import datatable as dt
dt.Frame([dt.Type.date32.min, date(2021, 7, 20), dt.Type.date32.max], stype='date32')

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library(data.table)
library(gtrendsR)
library(ggplot2)
library(ggthemes)

# Adopted from the product list by time.com:
# https://time.com/5810811/coronavirus-shopping-data/
products = c("milk", "meat", "alcohol",
             "cleaner", "beans", "toilet paper", 
             "hand sanitizer", "facial tissue", "rice",

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library(ggplot2)
library(ggthemes)
library(scales)

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# Load dai package
library(dai)

# Connect to Driverless AI instance
dai_uri = "http://your.instance.name:12345"
usr = "user_id"
pwd = "password"
dai.connect(uri = dai_uri, username = usr, password = pwd, force_version = FALSE)

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#!/bin/bash

# Install core packages
sudo apt -y update && \
sudo apt -y --no-install-recommends install \
  curl \
  apt-utils \
  wget \
  libblas-dev \
  default-jre \

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titanic_1tree = h2o.gbm(x = predictors, y = response, 
                        training_frame = titanicHex, 
                        ntrees = 1, min_rows = 1, sample_rate = 1, col_sample_rate = 1,
                        max_depth = 5,
                        # use early stopping once the validation AUC doesn't improve by at least 0.01%
                        # for 5 consecutive scoring events
                        stopping_rounds = 3, stopping_tolerance = 0.01, 
                        stopping_metric = "AUC", 
                        seed = 1)

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library(ggplot2)
data(mtcars)
 
ggplot(mtcars) +
  geom_bar(aes(factor(cyl), fill=factor(cyl)))

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library(RSocrata)

data15.source = read.socrata(url = "https://www.dallasopendata.com/resource/8pn8-24ku.csv")
data16.source = read.socrata(url = "https://www.dallasopendata.com/resource/4qfv-27du.csv")
data17.source = read.socrata(url = "https://www.dallasopendata.com/resource/8849-mzxh.csv")

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library(googlesheets)
library(dplyr)
library(lubridate)

gsh = gs_title("Rome-Siracusa-vacations")
vdata = gsh %>% gs_read()
vdata$ts = mdy(vdata$Date)

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    library(toaster)  
      
    close(conn)  
    conn = odbcDriverConnect(connection="driver={Aster ODBC Driver};server=10.xx.xx.xx;port=2406;database=dallas;uid=beehive;pwd=beehive",  
                             interpretDot=TRUE)  
      
    dallasPermitsTableInfo = getTableSummary(conn, "dallasbuildingpermits")  
      
    getNumericColumns(dallasPermitsTableInfo)