Ryan Murray rymurr

## matplotlibrc
### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

## latency.markdown

      
              2 files
            
          
              744 forks
            
          
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              4436 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

  
## pantheon_monitoring_tools.md

      
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              6 stars
            
          
                dergachev
                / pantheon_monitoring_tools.md
            
            
              Created
              May 22, 2013 21:30
            
              
                Kyle monitoring tools: sensu, graphite, statsd
              
          
    This is what they use.

http://graphite.wikidot.com/screen-shots | Screen Shots - Graphite
https://github.com/etsy/statsd/blob/master/docs/graphite.md | statsd/docs/graphite.md at master · etsy/statsd · GitHub
http://ericfarkas.com/posts/statsd-graphite-ubuntu/ | Setting up statsd + graphite on Ubuntu 12.04 LTS
https://github.com/janoside/ubuntu-statsd-graphite-setup | janoside/ubuntu-statsd-graphite-setup · GitHub
http://drupalcode.org/project/statsd.git/tree/refs/heads/7.x-1.x | drupalcode.org Git - project/statsd.git/tree
http://collectd.org/ | Start page – collectd – The system statistics collection daemon
http://hackerific.net/2012/02/27/monitoring-things-with-collectd/ | Monitoring Things with collectd
https://github.com/sensu/sensu-community-plugins | sensu/sensu-community-plugins · GitHub


## Backend Architectures Keywords and References.md

      
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                ragingwind
                / Backend Architectures Keywords and References.md
            
            
              Last active
              July 4, 2024 13:00
            
              
                Backend Architectures Keywords and References
              
          
    Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
Scaling Twitter: Making Twitter 10000 Percent Faster


## pypi-release-checklist.md

      
              1 file
            
          
              70 forks
            
          
              13 comments
            
          
              274 stars
            
          
                audreyfeldroy
                / pypi-release-checklist.md
            
            
              Last active
              February 23, 2023 15:03
            
              
                My PyPI Release Checklist
              
          
 Update HISTORY.md
 Commit the changes:

git add HISTORY.md
git commit -m "Changelog for upcoming release 0.1.1."


 Update version number (can also be minor or major)

bumpversion patch


## simple-git-branching-model.md

      
              4 files
            
          
              35 forks
            
          
              43 comments
            
          
              1726 stars
            
          
                jbenet
                / simple-git-branching-model.md
            
            
              Last active
              June 17, 2024 14:53
            
              
                a simple git branching model
              
          
    a simple git branching model (written in 2013)

This is a very simple git workflow. It (and variants) is in use by many people.
I settled on it after using it very effectively at Athena.
GitHub does something similar; Zach Holman mentioned  it
in this talk.
Update: Woah, thanks for all the attention. Didn't expect this simple rant
to get popular.

  
## gist:8172796

      
              1 file
            
          
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                debasishg
                / gist:8172796
            
            
              Last active
              July 5, 2024 11:53
            
              
                A collection of links for streaming algorithms and data structures
              
          
    General Background and Overview


Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&amp;rep=rep1&amp;t


## whiteboardCleaner.md

      
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              2095 stars
            
          
                lelandbatey
                / whiteboardCleaner.md
            
            
              Last active
              June 16, 2024 13:44
            
              
                Whiteboard Picture Cleaner - Shell one-liner/script to clean up and beautify photos of whiteboards!
              
          
    Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.
The script is here:
#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results


## download_zeal_user_docsets.py
"""Download Dash User Docsets and install them in Zeal"""
import configparser
import json
import tarfile
import urllib.request
from pathlib import Path
from sys import platform

import easygui

## zigzag-encoding.README
  ZigZag-Encoding
  ---------------

  Maps negative values to positive values while going back and
  forth (0 = 0, -1 = 1, 1 = 2, -2 = 3, 2 = 4, -3 = 5, 3 = 6 ...)

  (i >> bitlength-1) ^ (i << 1)

  with "i" being the number to be encoded, "^" being
  XOR-operation and ">>" would be arithemtic shifting-operation
	### MATPLOTLIBRC FORMAT

	# This is a sample matplotlib configuration file - you can find a copy
	# of it on your system in
	# site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it
	# there, please note that it will be overridden in your next install.
	# If you want to keep a permanent local copy that will not be
	# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
	# like systems) and C:\Documents and Settings\yourname\.matplotlib
	# (win32 systems).
	"""Download Dash User Docsets and install them in Zeal"""
	import configparser
	import json
	import tarfile
	import urllib.request
	from pathlib import Path
	from sys import platform

	import easygui
	ZigZag-Encoding
	---------------

	Maps negative values to positive values while going back and
	forth (0 = 0, -1 = 1, 1 = 2, -2 = 3, 2 = 4, -3 = 5, 3 = 6 ...)

	(i >> bitlength-1) ^ (i << 1)

	with "i" being the number to be encoded, "^" being
	XOR-operation and ">>" would be arithemtic shifting-operation