olasitarska

# -*- coding: utf-8 -*-
"""
Builds epub book out of Paul Graham's essays: http://paulgraham.com/articles.html

Author: Ola Sitarska <ola@sitarska.com>
Copyright: Licensed under the GPL-3 (http://www.gnu.org/licenses/gpl-3.0.html)

This script requires python-epub-library: http://code.google.com/p/python-epub-builder/
"""

ndarville

Business Models

Advertising

Models	Examples
Display ads	Yahoo!
Search ads	Google

dergachev

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

jexp

What is this about?

This script parses the git log and outputs Cypher statements to create a Neo4j database of your git history.

BEGIN
create constraint on (c:Commit) assert c.sha1 is unique;
COMMIT
BEGIN
CREATE (:Commit {author_email:'foo@bar.com',date_iso_8601:'2014-05-22 20:53:05 +0200',parents:['b6393fc9d5c065fd42644caad600a9b7ac911ae2'],refs:['HEAD', 'origin/master', 'master', 'in-index'],sha1:'934cacf9fe6cd0188be642b3e609b529edaad527',subject:'Some commit message',timestamp:'1400784785'});

ikwattro

Github Events Analysis with Neo4j

On July 22, Github announced the 3rd Annual Github Data Challenge presenting multiple sources of data available.

This sounded to me a good opportunity to use their available data and import it in Neo4j in order to have a lot of fun at analyzing the data that fits naturally in a graph.

As I work mainly offline or behind military proxies that do not permit me to use the ReST API, I decided to go for the Github Archive available here, you can then download json files representing Github Events on a daily/hour basis.

rlucioni

import json
from itertools import combinations

import requests
import networkx as nx


def get_senate_vote(vote):
    # Year can be replaced to fetch votes from different years (e.g., 2013). 1989 is used
    # as an example.

jexp

Unusable on spinning disk, these results are from an SSD.

1M x create node+rel in 38s, 26k r/s
1M x create 2 nodes, 2 relationships, 2 properties in 47s, 21k r/s -> 80k records / s
1M x create 2 nodes with labels, 2 rels, 0 properties in 140s, 7k r/s
100k x create 100 rel + node -> 10M in 20s, 5k r/s
1M lookups by id in 22s, 43k r/s
1M lookup by id compiled runtime in 21s, 47k r/s

dannguyen

import requests
import json
from os import makedirs
from os.path import join, exists
from copy import copy
import requests
LIST_ENDPOINT='http://api.viewers-guide.hbo.com/service/charactersList'
FEATURED_ENDPOINT='http://api.viewers-guide.hbo.com/service/charactersFeatured'
DETAIL_ENDPOINT='http://api.viewers-guide.hbo.com/service/characterDetails'
DEFAULT_PARAMS = {'lang': 1}

graphadvantage

##Neo4j GraphGist - Marketing Recommendations Using Last Touch Attribution Modeling and k-NN Binary Cosine Similarity

Neo4j Use Case: Real-Time Marketing Recommendations

#Part 1. Neo4j Marketing Attribution Models

Introduction

Graphs are well suited for marketing analytics - a natural fit since marketing is principally about relationships. In this GraphGist, we'll take a look at how to use Neo4j to make real-time marketing recommendations.

jexp

Add Bookmarklet

Please note there is now a dedicated project for this: https://github.com/jexp/spoon-neo4j/

Adds these features to Neo4j Browser

• DataTable (search, sort, paginage)

• Zoom for graphs and query plans (Hold Alt- and drag / pan)

• Charts (Currently Line-Charts)