| { | |
| "id": "s1", | |
| "name": "Club Sandwich", | |
| "image": "img/sandwich/s1.jpg" | |
| } |
| { | |
| "id": "s2", | |
| "name": "Chicken & Bacon", | |
| "image": "img/sandwich/s2.jpg" | |
| } |
| { | |
| "id": "s3", | |
| "name": "BLT", | |
| "image": "img/sandwich/s3.jpg" | |
| } |
| AC | |
| AD | |
| AE | |
| AF | |
| AG | |
| AI | |
| AL | |
| AM | |
| AN | |
| AO |
| package main | |
| import ( | |
| "net" | |
| "net/textproto" | |
| "fmt" | |
| "log" | |
| "bufio" | |
| ) |
| Creating a table with a timestamp column, and then inserting data with a massive timestamp results in CQLSH errors when trying to remove the inserted data. | |
| Connected to Test Cluster at 127.0.0.1:9042. | |
| [cqlsh 5.0.1 | Cassandra 2.1.0 | CQL spec 3.2.0 | Native protocol v3] | |
| cqlsh> create keyspace test WITH REPLICATION = { 'class' : 'SimpleStrategy', 'replication_factor' : 3 }; | |
| cqlsh> use test; | |
| cqlsh:test> create table test.table1 (id int, time timestamp, primary key (id)); | |
| clqsh:test> insert into table1(id, time) values (1, 1000000000000000) ; | |
| cqlsh:test> select * from table1; |
| import com.github.fge.jsonschema.core.report.ProcessingMessage | |
| import scala.collection.JavaConversions._ | |
| import com.fasterxml.jackson.databind.JsonNode | |
| import com.github.fge.jsonschema.main.JsonSchemaFactory | |
| import org.json4s._ | |
| import org.json4s.jackson.JsonMethods._ |
| MERGE (f:Food:Recipe {id: "e02e63be-2b7c-4bfe-a1a0-7d6153f24673", name: "Bread sauce", source_url: "http://www.bbc.co.uk/food/recipes/breadsauce_84755", source_name: "BBC Food", image_url: "http://ichef.bbci.co.uk/food/ic/food_16x9_448/recipes/breadsauce_84755_16x9.jpg", description: "This crowd-pleasing bread sauce recipe by Nigella Lawson is an easy extra for Christmas Day and is just as good served cold with leftovers. The recipe appears in Nigella's book Feast, published by Chatto & Windus."}); | |
| MERGE (f:Food{ name:"1 day-old loaf unsliced white bread"}) ON CREATE SET f.id = "d744762e-2351-480a-84fb-878d53b72992"; | |
| MATCH (r:Recipe {id: "e02e63be-2b7c-4bfe-a1a0-7d6153f24673"}),(f:Food{id:"d744762e-2351-480a-84fb-878d53b72992"}) CREATE (r)-[:CONTAINS]->(f); | |
| MERGE (f:Food{ name:"1 litre/2 pints full-fat milk"}) ON CREATE SET f.id = "8840ab8d-61f4-4c7a-bcbe-cd607be10772"; | |
| MATCH (r:Recipe {id: "e02e63be-2b7c-4bfe-a1a0-7d6153f24673"}),(f:Food{id:"8840ab8d-61f4-4c7a-bcbe-cd607be10772"}) CREATE (r)-[:CONTAINS]- |
| acorn squash | |
| ale | |
| alfalfa sprouts | |
| allspice | |
| almond | |
| almond extract | |
| almonds | |
| amaretti | |
| amaretto | |
| anchovies |
Lecture videos, programming assignments, and exam papers for [MIT's Artificial Intelligence course][course-url] are available online. These are my notes from "taking" the course.
This course, and every subject at MIT, is based around making models. [Professor Winston][prof-winston] explains that this course will teach:
Algorithms enabled by
Constraints evolved by