learndatalogtoday.org

Learn Datalog Today!

Is an interactive tutorial designed to teach you the Datomic. Datalog is a declarative database query language. With roots in logic programming. Datalog has similar expressive power as SQL. Datomic is a new database with an interesting and novel architecture, giving its users a unique set of features. You can read more about Datomic at http:/ datomic.com. And the architecture is described in some detail in this InfoQ article. This tutorial was written on rainy days for the Lisp In Summer Projects.

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Is an interactive tutorial designed to teach you the Datomic. Datalog is a declarative database query language. With roots in logic programming. Datalog has similar expressive power as SQL. Datomic is a new database with an interesting and novel architecture, giving its users a unique set of features. You can read more about Datomic at http:/ datomic.com. And the architecture is described in some detail in this InfoQ article. This tutorial was written on rainy days for the Lisp In Summer Projects.

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1 learn datalog today

2 dialect of datalog

3 table of contents

4 extensible data notation

5 basic queries

6 data patterns

7 parameterized queries

8 more queries

9 predicates

10 transformation functions

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Learn Datalog Today! | learndatalogtoday.org Reviews

https://learndatalogtoday.org

Is an interactive tutorial designed to teach you the Datomic. Datalog is a declarative database query language. With roots in logic programming. Datalog has similar expressive power as SQL. Datomic is a new database with an interesting and novel architecture, giving its users a unique set of features. You can read more about Datomic at http:/ datomic.com. And the architecture is described in some detail in this InfoQ article. This tutorial was written on rainy days for the Lisp In Summer Projects.

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learndatalogtoday.org

1

Learn Datalog Today!

http://www.learndatalogtoday.org/chapter/2

In the previous chapter, we looked at data patterns. Ie, vectors after the. Clause, such as. E :movie/title Commando]. There can be many data patterns in a. Title :where [? E :movie/year 1987] [? The important thing to note here is that the pattern variable. Is used in both data patterns. When a pattern variable is used in multiple places, the query engine requires it to be bound to the same value in each place. Therefore, this query will only find movie titles for movies made in 1987. Title :where [?

2

Learn Datalog Today!

http://www.learndatalogtoday.org/chapter/8

Many times over the course of this tutorial, we have had to write the following three lines of repetitive query code:. Name] [? P] [? Are the means of abstraction in Datalog. You can abstract away reusable parts of your queries into rules, give them meaningful names and forget about the implementation details, just like you can with functions in your favorite programming language. Let's create a rule for the three lines above:. Title) [? Name] [? P] [? The first vector is called the. It is possible to use.

3

Learn Datalog Today!

http://www.learndatalogtoday.org/chapter/5

So far, we have only been dealing with data patterns. We have not yet seen a proper way of handling questions like ". Find all movies released before 1984. This is where predicate clauses. Let's start with the query for the question above:. Title :where [? Title] [? Year] [(? Year 1984)]]. The last clause,. Year 1984)]. Name :where [? Name] [(.startsWith? Name M)]]. Clojure functions must be fully namespace-qualified, so if you have defined your own predicate. You must write it as. Title . ].

4

Learn Datalog Today!

http://www.learndatalogtoday.org/chapter/4

A datom, as described earlier, is the 4-tuple. 91;eid attr val tx]. So far, we have only asked questions about values and/or entity-ids. It's important to remember that it's also possible to ask questions about attributes and transactions. For example, say we want to find all attributes that are associated with person entities in our database. We know for certain that. Is one such attribute, but are there others we have not yet seen? Attr :where [? P :person/name] [? Attr :where [? A] [? Tx] [? Find all ...

5

Learn Datalog Today!

http://www.learndatalogtoday.org/chapter/7

Aggregate functions such as. Etc are readily available in Datomic's Datalog implementation. They are written in the. Clause in your query:. 91;:find (max? Date) :where .]. An aggregate function collects values from multiple datoms and returns. A collection of values:. Is an integer specifying the size of the collection. The number of movies in the database. Find :where .]. Find the birth date of the oldest person in the database. Find :where .]. Find :in . :where .]. 2013 - 2016 Jonas Enlund.

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(defn podcast [themes] (conj themes 'Clojure 'ClojureScript)) – Page 2

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Defn podcast [themes] (conj themes 'Clojure 'ClojureScript). Episode #9 – Onyx with Mike and Lucas. A fun, loooong episode to discuss the awesome Onyx with Mike Drogalis and Lucas Bradstreet. And the new chap, Gardner Vickers, is @Gardner on Twitter. Thanks for keeping on listening and for the positive feedback, especially our latest confirmed listener, a certain Mr Rich Hickey. Defn will be at Euroclojure – October 25/26. EuroClojure talks – David Nolen, Carin Meier etc. Main discussion – Onyx. Thanks f...

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Uncategorized – (defn podcast [themes] (conj themes 'Clojure 'ClojureScript))

https://defn.audio/category/uncategorized

Defn podcast [themes] (conj themes 'Clojure 'ClojureScript). Episode #12 – EuroClojure Preview. We go bare meta – a talk about the talks at the upcoming EuroClojure. Defn will be at Euroclojure – October 25/26 in Bratislava, Slovakia. 8230; and we have some new branding to celebrate! Main discussion – EuroClojure Preview. Many meta discussions to whet your appetite. Vijay doubles down on his obsession with Emacs. The project, I know – you know it]. Thanks to the awesome Lubov Soltan. October 21, 2016.

blog.mattgauger.com

Clojure Data Science: Ingesting Your Gmail Inbox - blog.mattgauger.com

http://blog.mattgauger.com/blog/2014/03/30/clojure-data-science-ingesting-your-gmail-inbox

Clojure Data Science: Ingesting Your Gmail Inbox. This is Part 1 of a series of blog posts inspired by the exercises from Agile Data Science. With Clojure. You may be interested in my review. For this blog post series, we are going to use your Gmail inbox as a dataset for an exploration of data science practices. Namely, we will use your email for machine learning and natural language processing applications. Email makes interesting data to process:. It has lots of metadata that we can use as features [1].

nexusnotes.ru

Блог Максима Прокопова

http://nexusnotes.ru/page/2

Считаю, что за свое образование задолжал миру несколько статей. Про Укрзализныцю и билеты. Довелось мне две недели назад покупать ЖД билеты через Приват24. Почему-то на один и тот же поезд, но на разные дни выдали в одном случае код, который нужно поменять на билеты, в другом случае сам билет, который можно распечатать. В связи с чем у меня вопрос к Укрзализныце. Если у вас и так все билеты именные и сверяются с паспортом, тогда зачем вы вообще билеты бумажные продаете и проверяете? Исчезнут очереди на о...

github.com

Intermediate Tutorial · omcljs/om Wiki · GitHub

https://github.com/swannodette/om/wiki/Intermediate-Tutorial

O-I edited this page. Jun 26, 2015. Middot; 85 revisions. Applying Property Based Testing to User Interfaces. Boot project with om checkout dependencies. Components, Identity and Normalization. Internals: Instances are getting reused. How? Quick Start (om.next). Transitioning the Indexer from the static tree to the runtime tree. Show 16 more pages. Components, Identity and Normalization. Applying Property Based Testing to User Interfaces. Clone this wiki locally. Application that talks to Datomic. We don...

blog.mattgauger.com

http://blog.mattgauger.com/blog/page/2

Clojure Data Science: Ingesting Your Gmail Inbox. This is Part 1 of a series of blog posts inspired by the exercises from Agile Data Science. With Clojure. You may be interested in my review. For this blog post series, we are going to use your Gmail inbox as a dataset for an exploration of data science practices. Namely, we will use your email for machine learning and natural language processing applications. Email makes interesting data to process:. It has lots of metadata that we can use as features [1].

datomic.com

Training - Datomic

http://www.datomic.com/training.html

In this video series Stu Halloway presents the fundamentals of Datomic. Divided into six parts and totaling about four hours, these videos contain everything you need to know to get started with Datomic. You can also download the classroom materials and samples. To accompany the videos, as well as the original slides. Part I: What is Datomic? Part II: The Datomic Information Model. Part III: The Datomic Transaction Model. With the basics out of the way, Stu now moves on to the Datomic transaction model&#...

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learndatalogtoday.org

Learn Datalog Today!

Is an interactive tutorial designed to teach you the Datomic. Datalog is a declarative database query language. With roots in logic programming. Datalog has similar expressive power as SQL. Datomic is a new database with an interesting and novel architecture, giving its users a unique set of features. You can read more about Datomic at http:/ datomic.com. And the architecture is described in some detail in this InfoQ article. This tutorial was written on rainy days for the Lisp In Summer Projects.

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