#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
import urllib2 | |
gh_url = 'https://api.github.com' | |
req = urllib2.Request(gh_url) | |
password_manager = urllib2.HTTPPasswordMgrWithDefaultRealm() |
# -*- 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, |
Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.
In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.
Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j
ffmpeg -i "Apache Sqoop Tutorial Part 1.mp4" -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate1.ts
ffmpeg -i "Apache Sqoop Tutorial Part 2.mp4" -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate2.ts
ffmpeg -i "Apache Sqoop Tutorial Part 3.mp4" -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate3.ts
ffmpeg -i "Apache Sqoop Tutorial Part 4.mp4" -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate4.ts
ffmpeg -i "concat:intermediate1.ts|intermediate2.ts|intermediate3.ts|intermediate4.ts" -c copy -bsf:a aac_adtstoasc "Apache Sqoop Tutorial.mp4"
// XPath CheatSheet | |
// To test XPath in your Chrome Debugger: $x('/html/body') | |
// http://www.jittuu.com/2012/2/14/Testing-XPath-In-Chrome/ | |
// 0. XPath Examples. | |
// More: http://xpath.alephzarro.com/content/cheatsheet.html | |
'//hr[@class="edge" and position()=1]' // every first hr of 'edge' class |
set nocompatible "Necessário para o Vundle | |
filetype off "Necessário para o Vundle | |
"Configuração do caminho para o executável do Vundle | |
set rtp+=~/.vim/bundle/Vundle.vim | |
call vundle#begin() | |
Plugin 'gmarik/Vundle.vim' "Gerenciador de plugins Vundle | |
Plugin 'scrooloose/syntastic' "Checador de sintaxe |
DDL is short name of Data Definition Language, which deals with database schemas and descriptions, of how the data should reside in the database.
DML is short name of Data Manipulation Language which deals with data manipulation, and includes most common SQL statements such SELECT, INSERT, UPDATE, DELETE etc, and it is used to store, modify, retrieve, delete and update data in database.
DCL is short name of Data Control Language which includes commands such as GRANT, and mostly concerned with rights, permissions and other controls of the database system.
Text types
#!/usr/bin/env python | |
# encoding: utf-8 | |
import lxml.etree | |
import lxml.html | |
import requests | |
xml_sample = """<?xml version="1.0" encoding="UTF-8"?> | |
<foo:Results xmlns:foo="http://www.foo.com" xmlns="http://www.bah.com"> | |
<foo:Recordset setCount="2"> |