evocateur

#!/bin/bash
#
# Requires ftxdumperfuser from http://developer.apple.com/textfonts/download/
#
# Usage: fixconsolas [files ...]
#   When called with no arguments, it attempts to operate on every TrueType
#     file in the current directory.
#
# References:
#   http://bandes-storch.net/blog/2008/12/21/consolas-controlled/#comment-2042

vasilisvg

#HTML presentation tools

There are many HTML presentation tools and they are all created for slightly different reasons. Here's an overview. Please let me know if I forgot any.

##CSSS

CSS-based SlideShow System

• Source
• Example

jamesrampton

#!/bin/bash
/System/Library/Frameworks/CoreServices.framework/Frameworks/LaunchServices.framework/Support/lsregister -kill -r -domain local -domain system -domain user
killall Finder

yryozo

;; Usage Example:
;;  
;; <!-- BEGIN RECEIVE ORGTBL ${1:YOUR_TABLE_NAME} -->
;; <!-- END RECEIVE ORGTBL $1 -->
;;  
;; <!-- 
;; #+ORGTBL: SEND $1 orgtbl-to-gfm
;; | $0 | 
;; -->

fabiofl

sudo find /private/var/folders/ -name com.apple.dock.iconcache -exec rm {} \;

calmyournerves

# make sure the following is installed:
# - Xcode Command Line Tools (xcode-select --install)
# - OpenSSL from homebrew (brew install openssl && brew link openssl --force)

# dependencies and preparations
brew update
brew install git ossp-uuid md5sha1sum coreutils pcre gnutls libidn gsasl pkg-config libxml2
brew link libxml2 --force
brew tap darinmorrison/haskell
brew install darinmorrison/haskell/cabal-install

debasishg

General Background and Overview

1. 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.
2. Models and Issues in Data Stream Systems
3. 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
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

grafov

;; Usage Example:
;;  
;; <!--- BEGIN RECEIVE ORGTBL ${1:YOUR_TABLE_NAME} -->
;; <!--- END RECEIVE ORGTBL $1 -->
;;  
;; <!---
;; #+ORGTBL: SEND $1 orgtbl-to-gfm
;; | $0 | 
;; -->

bitemyapp

The Learning Haskell guide has been moved to a git repo to enable outside contribution

Find it here: https://github.com/bitemyapp/learnhaskell

gruber

The regex patterns in this gist are intended only to match web URLs -- http,
https, and naked domains like "example.com". For a pattern that attempts to
match all URLs, regardless of protocol, see: https://gist.github.com/gruber/249502


# Single-line version:

(?i)\b((?:https?:(?:/{1,3}|[a-z0-9%])|[a-z0-9.\-]+[.](?:com|net|org|edu|gov|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|name|post|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|s