Aaron Schumacher ajschumacher

## Makefile
default:
	asciidoc tdiff_spec_draft.txt

## scrapeBikeShare.R
require("rjson")

#generate urls to scrape
#I determined the lowest and highest unique ids
#by looking at the page that had just the coordinates

root.url <- "http://a841-tfpweb.nyc.gov/bikeshare/get_point_info?point="
id<- seq(11992,12404, by=1)
urls <- paste(root.url, id, sep="")

## latency.markdown

      
              2 files
            
          
              742 forks
            
          
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              4392 stars
            
          
                hellerbarde
                / latency.markdown
            
            
              Created
              May 31, 2012 13:16
                — forked from jboner/latency.txt
            
              
                Latency numbers every programmer should know
              
          
    Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

  
## .block
license: gpl-3.0
redirect: https://observablehq.com/@d3/d3-collapsible-tree

## .block
license: gpl-3.0
border: no
height: 2000
redirect: https://beta.observablehq.com/@mbostock/d3-tidy-tree

## catchall.coffee
Wolfram = require('wolfram-alpha').createClient(process.env.HUBOT_WOLFRAM_APPID)

module.exports = (robot) ->
  robot.catchAll (msg) ->
    r = new RegExp "^(?:#{robot.alias}|#{robot.name}) (.*)", "i"
    matches = msg.message.text.match(r)
    if matches != null && matches.length > 1
      Wolfram.query matches[1], (e, result) ->
        if result and result.length > 0
          msg.send result[1]['subpods'][0]['text']

## camera.py
import cv2

# Windows dependencies
# - Python 2.7.6: http://www.python.org/download/
# - OpenCV: http://opencv.org/
# - Numpy -- get numpy from here because the official builds don't support x64:
#   http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy

# Mac Dependencies
# - brew install python

## round-28.md

      
              1 file
            
          
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              1 star
            
          
                apg
                / round-28.md
            
            
              Last active
              August 29, 2015 13:56
            
              
                Hack and Tell - Round 28
              
          
    -----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1
Hate markdown? See this in all its rendered glory.
Round 28: Jeepy Gee

Hello Hackers-
Thanks to Meetup for hosting us! As always

  
## open-data-workshop-notes.md

      
              1 file
            
          
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              1 star
            
          
                konklone
                / open-data-workshop-notes.md
            
            
              Last active
              August 29, 2015 13:56
            
              
                notes from https://gist.github.com/konklone/9145865
              
          
    Link to this page: bit.ly/odd-notes
Links we'll use


https://docs.google.com/presentation/d/1pBi0I_I6NvXD_nRoypwaKx_SfUQe97CasD9fko9cWy4/edit#slide=id.g2bf82efe8_039
https://www.flickr.com/
https://congress.api.sunlightfoundation.com/
https://sunlightlabs.github.io/congress/
http://konklone.io/json/


## clip_magic.py
"""
Add copy to clipboard from IPython!
To install, just copy it to your profile/startup directory, typically:

    ~/.ipython/profile_default/startup/

Example usage:

    %clip hello world
    # will store "hello world"
	require("rjson")

	#generate urls to scrape
	#I determined the lowest and highest unique ids
	#by looking at the page that had just the coordinates

	root.url <- "http://a841-tfpweb.nyc.gov/bikeshare/get_point_info?point="
	id<- seq(11992,12404, by=1)
	urls <- paste(root.url, id, sep="")
	license: gpl-3.0
	redirect: https://observablehq.com/@d3/d3-collapsible-tree
	license: gpl-3.0
	border: no
	height: 2000
	redirect: https://beta.observablehq.com/@mbostock/d3-tidy-tree
	Wolfram = require('wolfram-alpha').createClient(process.env.HUBOT_WOLFRAM_APPID)

	module.exports = (robot) ->
	robot.catchAll (msg) ->
	r = new RegExp "^(?:#{robot.alias}\|#{robot.name}) (.*)", "i"
	matches = msg.message.text.match(r)
	if matches != null && matches.length > 1
	Wolfram.query matches[1], (e, result) ->
	if result and result.length > 0
	msg.send result[1]['subpods'][0]['text']
	import cv2

	# Windows dependencies
	# - Python 2.7.6: http://www.python.org/download/
	# - OpenCV: http://opencv.org/
	# - Numpy -- get numpy from here because the official builds don't support x64:
	# http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy

	# Mac Dependencies
	# - brew install python
	"""
	Add copy to clipboard from IPython!
	To install, just copy it to your profile/startup directory, typically:

	~/.ipython/profile_default/startup/

	Example usage:

	%clip hello world
	# will store "hello world"