A curated list of my GitHub stars! Generated by stargazed
'''This script can be used to export data from Pocket (getpocket.com) | |
Uses include migrating to a different "read it later" service, saving | |
specific articles to another service, backing up your reading history, | |
and more. | |
Currently it can be used to export links and metadata for archived | |
articles with a given tag, which are more recent than a given timestamp. | |
An example use case is to export all articles you have tagged as | |
"to-export", which are newer than 10 days old. The timestamp functionality |
//Bruggen blog feed | |
//https://docs.google.com/a/neotechnology.com/spreadsheets/d/1LAQarqQ-id74-zxV6R4SdG7mCq_24xACXO5WNOP-2_w/export?format=csv&id=1LAQarqQ-id74-zxV6R4SdG7mCq_24xACXO5WNOP-2_w&gid=0 | |
create index on :Blog(name); | |
create constraint on (p:Page) assert p.url is unique; | |
create (b:Blog {name:"Bruggen", url:"http://blog.bruggen.com"}); | |
create (n:Blog {name:"Neo4j Blog", url:"http://neo4j.com/blog"}); | |
create (n:Blog {name:"JEXP Blog", url:"http://jexp.de/blog/"}); | |
create (n:Blog {name:"Armbruster-IT Blog", url:"http://blog.armbruster-it.de/"}); |
Answer to this Stackoverflow Question
Amazon Web Services global infractructure is steadily expanding and now serves thousands of customers in over 190 countries. Certain services are only available in some regions and compute prices vary across the globe. Wouldn’t it be nice if you could slice and dice through the entire AWS domain of services, data centres and prices all in one spot to optimise your AWS bill? , enter the AWS Global Infrastructure Graph!
At the time of writing the AWS global infrastructure graph consists of 5 continents, with 10 regions, and 21 availability zones, offering 32 services. The data shown here is current as of 21 January 2014.
disclaimer AWS consumers beware! The prices and services listed in the graph are correct as of January 21st 2014, please refer to the AWS price calculator for the latest prices and service offering’s per region - http://calculator.s3.amazonaws.com/calc5.html
Most Finance portfolio management’s would be using RDBMS. But the same could be built with neo4j in a much succint manner. The analysis that can be done over it is interesting too. Consider the system has the data for x members, we can get analysis as follows:
-
How much percentage people spend money on a particular liability, say loans.
-
How much percentage does a particular asset contribute to average earnings.
This is how you might model Premier League managers tenures at different clubs in Neo4j:
The date modeling is based on an approach described in more detail in Return partly shared path ranges.