sksundaram-learning

--- work/vboxdrv/r0drv/linux/memobj-r0drv-linux.c	2017-01-12 10:04:01.000000000 -0500
+++ work/vboxdrv/r0drv/linux/memobj-r0drv-linux.cb	2017-05-28 18:04:25.607775983 -0400
@@ -1,4 +1,4 @@
-/* $Id: memobj-r0drv-linux.c 112804 2017-01-12 15:03:51Z fmehnert $ */
+/* $Id: memobj-r0drv-linux.c 66930 2017-05-17 10:45:48Z vboxsync $ */
 /** @file
  * IPRT - Ring-0 Memory Objects, Linux.
  */
@@ -902,6 +902,9 @@
     union

sksundaram-learning

./bin/drill-embedded                                                                                           
OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=512M; support was removed in 8.0
Apr 19, 2017 4:53:50 PM org.glassfish.jersey.server.ApplicationHandler initialize
INFO: Initiating Jersey application, version Jersey: 2.8 2014-04-29 01:25:26...
apache drill 1.10.0 
"drill baby drill"

Now visit link http://localhost:8047 to open up Apache Drill explorer and configure S3 storage plugin refer

sksundaram-learning

303 See Other

Location: https://github.com/wsargent/docker-cheat-sheet

Hi there!

The docker cheat sheet has moved to a Github project under https://github.com/wsargent/docker-cheat-sheet.

Please click on the link above to go to the cheat sheet.

sksundaram-learning

# http://stackoverflow.com/questions/748675/finding-duplicate-files-and-removing-them/748908#748908

import sys
import os
import hashlib

def chunk_reader(fobj, chunk_size=1024):
    """Generator that reads a file in chunks of bytes"""
    while True:
        chunk = fobj.read(chunk_size)

sksundaram-learning

Author: Sean Gillies Version: 1.0

Abstract

This document describes a GeoJSON-like protocol for geo-spatial (GIS) vector data.

Introduction

sksundaram-learning

{
 "metadata": {
  "name": "",
  "signature": "sha256:a8c266a3e6c4963abeca1c7b7a0656aee2fb5e524912abbc1f083e942694e840"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

sksundaram-learning

# -*- coding: utf-8 -*-
"""
LICENSE: BSD (same as pandas)
example use of pandas with oracle mysql postgresql sqlite
    - updated 9/18/2012 with better column name handling; couple of bug fixes.
    - used ~20 times for various ETL jobs.  Mostly MySQL, but some Oracle. 

    to do:  
            save/restore index (how to check table existence? just do select count(*)?), 
            finish odbc, 

sksundaram-learning

#!/bin/bash
# Update
apt-get update && apt-get upgrade -y
# Install python+packages and curl
apt-get install -y python3 python3-pip python3-numpy python3-scipy python3-matplotlib ipython3 ipython3-notebook python3-pandas python3-nose curl wget
# Update pip
python3 -m easy_install -U pip

# Correctinng python file 
# which causes stuck during package installation

sksundaram-learning

declare @tableName varchar(200)
declare @columnName varchar(200)
declare @nullable varchar(50)
declare @datatype varchar(50)
declare @maxlen int

declare @sType varchar(50)
declare @sProperty varchar(200)

DECLARE table_cursor CURSOR FOR 

sksundaram-learning

R to python useful data wrangling snippets

The dplyr package in R makes data wrangling significantly easier. 
The beauty of dplyr is that, by design, the options available are limited. 
Specifically, a set of key verbs form the core of the package. 
Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe. 
Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R. 
The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas package). 

dplyr is organised around six key verbs