Hassan Abedi habedi

Cleaning up your Github account from those repositories you once forked and then forgot about is a tedious process when done manually.

Lets speed up this process with some automagic:

Open all repositories that you want to delete in new browser tabs
Use https://chrome.google.com/webstore/detail/onetab/chphlpgkkbolifaimnlloiipkdnihall?hl=en to shorten them to a list and export the URL's as a text file
In a text editor shorten the URL's to just the last part (username/repositoryname)
Create a new personal API token with capability to delete repositories and paste that token in the script
Run ./clean-repos.sh

Open in a new tab all to-be-deleted github repositores (Use the mouse’s middle click or Ctrl + Click) https://github.com/username?tab=repositories
Use one tab https://chrome.google.com/webstore/detail/onetab/chphlpgkkbolifaimnlloiipkdnihall to shorten them to a list.
Save that list to some path
The list should be in the form of “ur_username\repo_name” per line. Use regex search (Sublime text could help). Search for ' |.*' and replace by empty.

	import nltk

	text = """The Buddha, the Godhead, resides quite as comfortably in the circuits of a digital
	computer or the gears of a cycle transmission as he does at the top of a mountain
	or in the petals of a flower. To think otherwise is to demean the Buddha...which is
	to demean oneself."""

	# Used when tokenizing words
	sentence_re = r'''(?x) # set flag to allow verbose regexps
	([A-Z])(\.[A-Z])+\.? # abbreviations, e.g. U.S.A.

	# List unique values in a DataFrame column
	pd.unique(df.column_name.ravel())

	# Convert Series datatype to numeric, getting rid of any non-numeric values
	df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

	# Grab DataFrame rows where column has certain values
	valuelist = ['value1', 'value2', 'value3']
	df = df[df.column.isin(valuelist)]

	from __future__ import division
	from sklearn.cluster import KMeans
	from numbers import Number
	from pandas import DataFrame
	import sys, codecs, numpy

	class autovivify_list(dict):
	'''Pickleable class to replicate the functionality of collections.defaultdict'''
	def __missing__(self, key):
	value = self[key] = []

	/**
	* Copyright (c) 2014.
	* This file is licensed under the Apache License,
	* Version 2.0 (the "License"); you may not use this file except
	* in compliance with the License.
	* You may obtain a copy of the License at
	*
	* http://www.apache.org/licenses/LICENSE-2.0
	*
	*

	"""
	Non-Negative Garotte implementation with the scikit-learn
	"""

	# Author: Alexandre Gramfort <[email protected]>
	# Jaques Grobler (__main__ script) <[email protected]>
	#
	# License: BSD Style.

	import numpy as np

	using UnityEngine;
	using System.Collections;
	using System.Collections.Generic;

	public class goLevel : MonoBehaviour {
	//With the @ before the string, we can split a long string in many lines without getting errors
	private string json = @"{
	'hello':'world',
	'foo':'bar',
	'count':25

	def remove_emoji(data):
	"""
	去除表情
	:param data:
	:return:
	"""
	if not data:
	return data
	if not isinstance(data, basestring):
	return data