Alec Hipshear xionon

## reclaimWindows10.ps1
###
###
### UPDATE: For Win 11, I recommend using this tool in place of this script:
### https://christitus.com/windows-tool/
### https://github.com/ChrisTitusTech/winutil
### https://www.youtube.com/watch?v=6UQZ5oQg8XA
### iwr -useb https://christitus.com/win | iex
###
###

## service-checklist.md

      
              1 file
            
          
              185 forks
            
          
              25 comments
            
          
              715 stars
            
          
                acolyer
                / service-checklist.md
            
            
              Last active
              January 30, 2024 17:39
            
              
                Internet Scale Services Checklist
              
          
    Internet Scale Services Checklist

A checklist for designing and developing internet scale services, inspired by James Hamilton's 2007 paper "On Desgining and Deploying Internet-Scale Services."

http://mvdirona.com/jrh/talksandpapers/jamesrh_lisa.pdf

Basic tenets


 Does the design expect failures to happen regularly and handle them gracefully?
 Have we kept things as simple as possible?


## np_extractor.py
# coding=UTF-8
import nltk
from nltk.corpus import brown

# This is a fast and simple noun phrase extractor (based on NLTK)
# Feel free to use it, just keep a link back to this post
# http://thetokenizer.com/2013/05/09/efficient-way-to-extract-the-main-topics-of-a-sentence/
# Create by Shlomi Babluki
# May, 2013

## summary_tool.py
# coding=UTF-8
from __future__ import division
import re

# This is a naive text summarization algorithm
# Created by Shlomi Babluki
# April, 2013


class SummaryTool(object):
	###
	###
	### UPDATE: For Win 11, I recommend using this tool in place of this script:
	### https://christitus.com/windows-tool/
	### https://github.com/ChrisTitusTech/winutil
	### https://www.youtube.com/watch?v=6UQZ5oQg8XA
	### iwr -useb https://christitus.com/win \| iex
	###
	###
	# coding=UTF-8
	import nltk
	from nltk.corpus import brown

	# This is a fast and simple noun phrase extractor (based on NLTK)
	# Feel free to use it, just keep a link back to this post
	# http://thetokenizer.com/2013/05/09/efficient-way-to-extract-the-main-topics-of-a-sentence/
	# Create by Shlomi Babluki
	# May, 2013
	# coding=UTF-8
	from __future__ import division
	import re

	# This is a naive text summarization algorithm
	# Created by Shlomi Babluki
	# April, 2013


	class SummaryTool(object):