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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.

Creating a Fork

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

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor:

	import _winreg as reg
	import win32file


	adapter_key = r'SYSTEM\CurrentControlSet\Control\Class\{4D36E972-E325-11CE-BFC1-08002BE10318}'


	def get_device_guid():
	with reg.OpenKey(reg.HKEY_LOCAL_MACHINE, adapter_key) as adapters:
	try:

	from sqlalchemy import Column, Integer, String, ForeignKey
	from sqlalchemy.engine import create_engine
	from sqlalchemy.ext.declarative.api import declarative_base
	from sqlalchemy.orm import sessionmaker, relationship

	engine = create_engine('sqlite:///:memory:', echo=True)
	Session = sessionmaker(engine)
	Base = declarative_base(engine)

	session = Session()

	"""
	Administrador con permisos para consulta(view)

	Es una clase que extiende de admin.ModelAdmin y se utilizar para integrar
	el admin con permiso de consulta.

	Hay que integrarlo con el script que agrega a todos los modelos el permiso
	de consulta(view):
	https://gist.github.com/nicpottier/880901

	<div class="container">
	<div class="row">
	<h2>Multi level dropdown menu in Bootstrap 3</h2>
	<hr>
	<div class="dropdown">
	<a id="dLabel" role="button" data-toggle="dropdown" class="btn btn-primary" data-target="#" href="/page.html">
	Dropdown <span class="caret"></span>
	</a>
	<ul class="dropdown-menu multi-level" role="menu" aria-labelledby="dropdownMenu">
	<li><a href="#">Some action</a></li>

	import asyncio

	@asyncio.coroutine
	def waiting(r):
	print("hello from waiting -", r)
	yield from asyncio.sleep(2)
	print("bye from waiting -", r)
	return r