Ben bhpayne

directed-graph-creator

Interactive tool for creating directed graphs, created using d3.js.

Operation:

drag/scroll to translate/zoom the graph

Force layout test/experiment with images

Sources:

There are many Git workflows out there, I heavily suggest also reading the atlassian.com [Git Workflow][article] article as there is more detail than presented here.

The two prevailing workflows are [Gitflow][gitflow] and [feature branches][feature]. IMHO, being more of a subscriber to continuous integration, I feel that the feature branch workflow is better suited.

When using Bash in the command line, it leaves a bit to be desired when it comes to awareness of state. I would suggest following these instructions on [setting up GIT Bash autocompletion][git-auto].

Basic branching

When working with a centralized workflow the concepts are simple, master represented the official history and is always deployable. With each new scope of work, aka feature, the developer is to create a new branch. For clarity, make sure to use descriptive names like transaction-fail-message or github-oauth for your branches.

	Copyright (c) 2013 Ross Kirsling

	Permission is hereby granted, free of charge, to any person obtaining
	a copy of this software and associated documentation files (the
	"Software"), to deal in the Software without restriction, including
	without limitation the rights to use, copy, modify, merge, publish,
	distribute, sublicense, and/or sell copies of the Software, and to
	permit persons to whom the Software is furnished to do so, subject to
	the following conditions:

	{
	"nodes": [
	{
	"name": "Person1",
	"group": "#000"
	},
	{
	"name": "Person2",
	"group": "#000"
	},

	import time

	from flask import Flask, request, g, render_template

	app = Flask(__name__)
	app.config['DEBUG'] = True

	@app.before_request
	def before_request():
	g.request_start_time = time.time()