jonathanmoore

Share Counts

I have always struggled with getting all the various share buttons from Facebook, Twitter, Google Plus, Pinterest, etc to align correctly and to not look like a tacky explosion of buttons. Seeing a number of sites rolling their own share buttons with counts, for example The Next Web I decided to look into the various APIs on how to simply return the share count.

If you want to roll up all of these into a single jQuery plugin check out Sharrre

Many of these API calls and methods are undocumented, so anticipate that they will change in the future. Also, if you are planning on rolling these out across a site I would recommend creating a simple endpoint that periodically caches results from all of the APIs so that you are not overloading the services will requests.

Twitter

ttezel

#A Collection of NLP notes

##N-grams

###Calculating unigram probabilities:

P( w_i ) = count ( w_i ) ) / count ( total number of words )

In english..

eskriett

#!/usr/bin/python
# GoogleMapDownloader.py 
# Created by Hayden Eskriett [http://eskriett.com]
#
# A script which when given a longitude, latitude and zoom level downloads a
# high resolution google map
# Find the associated blog post at: http://blog.eskriett.com/2013/07/19/downloading-google-maps/

import urllib
import Image

tskaggs

Convert MOV to GIF using FFmpeg and ImageMagick

I tried a few different techniques to make a GIF via command-line and the following gives me the best control of quality and size. Once you're all setup, you'll be pumping out GIFs in no time!

Preparation

Install FFmpeg

• $ brew install ffmpeg [all your options]
  • Example: $ brew install ffmpeg --with-fdk-aac --with-ffplay --with-freetype --with-frei0r --with-libass --with-libvo-aacenc --with-libvorbis --with-libvpx --with-opencore-amr --with-openjpeg --with-opus --with-rtmpdump --with-schroedinger --with-speex --with-theora --with-tools

Install ImageMagick

aviflax

Introduction

This gist started with a collection of resources I was maintaining on stream data processing — also known as distributed logs, data pipelines, event sourcing, CQRS, and other names.

Over time the set of resources grew quite large and I received some interest in a more guided, opinionated path for learning about stream data processing. So I added the reading list.

Please send me feedback!

mschauer

module Kalman
using Distributions
export LinearDS, generate, kalmanfilter, kalmanfilter!, kalmanrts, kalmanrts!, kalmanEM, randmvn


""" 
Sampling singular semidefinite multivariate normal distributions

x = randmvn(S)

vasanthk

Folder Structure

Motivations

• Clear feature ownership
• Module usage predictibility (refactoring, maintainence, you know what's shared, what's not, prevents accidental regressions, avoids huge directories of not-actually-reusable modules, etc)

floriangeigl

INSTALLATION OF GRAPH-TOOL FROM SOURCE

System

• OS : Ubuntu 14.04.1 LTS Desktop 64-bit (http://www.ubuntu.com/download/alternative-downloads#external)
• Python Distribution : Anaconda Python (https://store.continuum.io/cshop/anaconda/)

If you have gcc > 5.0 installed on your server you can use my anaconda package which I compiled with openmp and boost 1.60: just use conda install graph-tool -c floriangeigl -c msarahan -c conda-forge -c bioconda -c ostrokach -c vgauthier -c salford_systems to install it.

EderSantana

Code for Keras plays catch blog post

Train

python qlearn.py

Test

1. Generate figures

ericfourrier