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An explain plan in Oracle can be a more detailed step by step set of guidelines that an SQL statement makes in order to run the SQL query. Ordinarily, Oracle use an optimizer plan, and will pick the explain plan with the cheapest related to conducting it. As a programmer, we may want to see an describe plan to help maximize a query, by modifying our SQL, or adding new indexes to a specific pillar to help decrease the expense of the finest explain plan. Just as somebody who's maybe not that familiar with explain plans himself, the intention behind the article would be to simply introduce the notions of explain plans, how to run them, and a very quick summary about how to translate a few of the data included in them. WordNet and ConceptNet are just two popular databases of both words and theories which can be found in a number of AI software. This post will look at how we can unite the two of these into one searchable graph using Neo4j. Before I start, many people may view that as a redundant task because ConceptNet already ingests WordNet, why not simply stick with loading While that holds true, WordNet models its relationships at the synset level, while ConceptNet seeks to reverse this that we can utilize, letting us create graph queries against network, or create queries that may unite both. The remainder of this article will give a quick summary of WordNet and ConceptNet, the graph model I Have programmer so far, a python script that'll generate some import files for Neo4j, and finally some example cypher queries. For those interested in the python For the next two articles, I'm going to introduce some of the methods I have been using to mine articles on Insta-gram, without using their API. This will include extracting a pair of articles for a specific hash tag, extracting user info, and dragging a people users timeline. This original article will introduce some of the notions of Insta-gram's REST service it's Frontend JS client uses to load data from, and start by revealing how we can use it to extract articles containing a hashtag.