George-Bogdan Ivanov bogsio

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, when I started going through the process of forking and issuing pull requests, I had some trouble figuring out the proper method for doing so and made quite a few mistakes along the way. 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

	# https://nlpforhackers.io/named-entity-extraction/

	import os
	import string
	import collections
	import pickle
	from collections import Iterable

	from nltk.tag import ClassifierBasedTagger
	from nltk.chunk import ChunkParserI, conlltags2tree, tree2conlltags

	import random

	from collections import Iterable
	from nltk.corpus import conll2000
	from nltk import ChunkParserI, ClassifierBasedTagger
	from nltk.stem.snowball import SnowballStemmer
	from nltk.chunk import conlltags2tree, tree2conlltags
	from nltk.tag import pos_tag
	from nltk import Tree
	from nltk.tokenize import sent_tokenize, word_tokenize

	viterbi_parser = PCFGViterbiParser.train(open('corpus.txt', 'r'), root='ROOT')

	t = viterbi_parser.parse(
	nltk.word_tokenize('Numerous passing references to the phrase have occurred in movies'))

	print t
	t.draw()

	import nltk
	from nltk.grammar import WeightedProduction, Nonterminal
	from util import corpus2trees, trees2productions


	class PCFGViterbiParser(nltk.ViterbiParser):
	def __init__(self, grammar, trace=0):
	super(PCFGViterbiParser, self).__init__(grammar, trace)

	@staticmethod

	from nltk import Tree
	import logging


	def corpus2trees(text):
	""" Parse the corpus and return a list of Trees """
	rawparses = text.split("\n\n")
	trees = []

	for rp in rawparses:

	(ROOT
	(S
	(NP (PRP I))
	(VP (VBP am)
	(NP
	(NP (NNP Bogdan))
	(PRN (-LRB- -LRB-)
	(ADJP (JJ new) (RB here))
	(-RRB- -RRB-))))
	(. .)))

	{
	"meta":{
	"limit":20,
	"next":null,
	"offset":0,
	"previous":null,
	"total_count":1
	},
	"objects":[
	{

	# ...

	class TodoListResource(ModelResource):
	item_urls = fields.ToManyField('todolist.api.TodoItemResource', attribute='items')

	# ...