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Scaladoc Index Much like Hoogle for Haskell, Scalex lets you find Scala functions quickly. Names and Types Searches can be either textual (a list of words), or by type (a type signature) or both. A search is considered a text search unless it contains a combination of text and symbols, or if it starts with :. To search for both a type and a name, place a : between them, for example size: List[A] => Int Example queries map Search for the text map list map Search for the text list and the text map list[a] => (a => boolean) => list[a] Search for the type List[A] => (A => Boolean) => List[A] : list[a] => a Search for the type List[A] => A conserve: List[a] => (a => b) => List[b] Search for the text conserve and the type List[A] => (A => B) => List[B]

"Leaflet is a modern open-source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin with a team of dedicated contributors. Weighing just about 31 KB of JS, it has all the features most developers ever need for online maps. Leaflet is designed with simplicity, performance and usability in mind. It works efficiently across all major desktop and mobile platforms out of the box, taking advantage of HTML5 and CSS3 on modern browsers while still being accessible on older ones. It can be extended with many plugins, has a beautiful, easy to use and well-documented API and a simple, readable source code that is a joy to contribute to."

"To demonstrate this idea, we'll create a wrapper component around Leaflet, an open source mapping JavaScript library created by Vladimir Agafonkin of Universal Mind. We'll use that wrapper component in an app that shows us a map and provides a button to move the map to a specified location."

"New Relic open sourced Centurion, a deployment tool for Docker used internally to run their production infrastructure. Centurion takes containers from a Docker registry and runs them on a fleet of hosts with the correct environment variables, host volume mappings, and port mappings, supporting rolling deployments out of the box."

"MAPS.ME - Offline OpenStreetMap maps for iOS/Android/Mac/Linux/Windows"

"A deployment tool for Docker. Takes containers from a Docker registry and runs them on a fleet of hosts with the correct environment variables, host volume mappings, and port mappings. Supports rolling deployments out of the box, and makes it easy to ship applications to Docker servers. We're using it to run our production infrastructure."

"Unlike most client libraries dealing with HAL REST APIs, Hybind provides a high-level approach similar to what Object Relational Mapping (ORM) frameworks are for databases. When using Spring Data REST in the server, it is amazing how the amount of code to write is reduced to a minimum. However, a significant amount of repeated boilerplate is still required in the JavaScript client to manipulate the resources and map them to the client-side model. That's why this library exists. It enriches plain JavaScript objects with a convenient API so that performing REST requests is as easy as calling methods directly on the model objects. It is optimized for Spring Data REST, but should work with other HAL APIs following similar conventions."

"The idea behind Kundera is to make working with NoSQL Databases drop-dead simple and fun. Kundera is being developed with following objectives: To make working with NoSQL as simple as working with SQL To serve as JPA Compliant mapping solution for NoSQL Datastores. To help developers, forget the complexity of NoSQL stores and focus on Domain Model. To make switching across data-stores as easy as changing a configuration. "

Functional is a library for functional programming in JavaScript. It defines the standard higher-order functions such as map, reduce (aka foldl), and select (aka filter). It also defines functions such as curry, rcurry, and partial for partial function application; and compose, guard, and until for function-level programming. And all these functions accept strings, such as 'x -> x+1', 'x+1', or '+1' as synonyms for the more verbose function(x) {return x+1}.

Assessing the effect of different programming languages and programming styles on programmer productivity is of critical interest. In his paper, Gilles Dubochet, describes how he investigated two aspects of programming style using eye movement tracking. He found that it is, on average, 30% faster to comprehend algorithms that use for-comprehensions and maps, as in Scala, rather than those with the iterative while-loops of Java.

"These are the major new features added since Slick 1.0.1: A code generator that reverse-engineers the database schema and generates all code required for working with Slick. New driver architecture to allow support for non-SQL, non-JDBC databases. Table definitions in the Lifted Embedding use a new syntax which is slightly more verbose but also more robust and logical, avoiding several pitfalls from earlier versions. Table definitions (and their * projections) are not restricted to flat tuples of columns anymore. They can use any type that would be valid as the return type of a Query. The old projection concatenation methods ~ and ~: are still supported but not imported by default. In addition to Scala tuples, Slick supports its own HList abstraction for records of arbitrary size. You can also add support for your own record types with only a few lines of code. All record types can be used everywhere (including table definitions and mapped projections) and they can be mixed and nested arbitrarily. Soft inserts are now the default, i.e. AutoInc columns are automatically skipped when inserting with +=, ++=, insert and insertAll. This means that you no longer need separate projections (without the primary key) for inserts. There are separate methods forceInsert and forceInsertAll in JdbcProfile for the old behavior. A new model for pre-compiled queries replaces the old QueryTemplate abstraction. Any query (both, actual collection-valued Query objects and scalar queries) or function from Column types to such a query can now be lifted into a Compiled wrapper. Lifted functions can be applied (without having to recompile the query), and you can use both monadic composition of Compiled values or just get the underlying query and use that for further composition. Pre-compiled queries can now be used for update and delete operations in addition to querying. threadLocalSession has been renamed to dynamicSession and the corresponding methods have distinct names (e.g. w

"Apache Hama is a pure BSP (Bulk Synchronous Parallel) computing framework on top of HDFS (Hadoop Distributed File System) for massive scientific computations such as matrix, graph and network algorithms. Today, many practical data processing applications require a more flexible programming abstraction model that is compatible to run on highly scalable and massive data systems (e.g., HDFS, HBase, etc). A message passing paradigm beyond Map-Reduce framework would increase its flexibility in its communication capability. Bulk Synchronous Parallel (BSP) model fills the bill appropriately. Some of its significant advantages over MapReduce and MPI are: * Supports message passing paradigm style of application development * Provides a flexible, simple, and easy-to-use small APIs * Enables to perform better than MPI for communication-intensive applications * Guarantees impossibility of deadlocks or collisions in the communication mechanisms"

"Fako is a library intended to fake Golang structs with fake but coherent data, Fako maps struct field tags and generates fake data accordingly."

"Read and write data to/from Elasticsearch within Hadoop/MapReduce libraries. Automatically converts data to/from JSON. Supports MapReduce, Cascading, Hive and Pig."

"HPaste unlocks the rich functionality of HBase for a Scala audience. In so doing, it attempts to achieve the following goals: Provide a strong, clear syntax for querying and filtration Perform as fast as possible while maintaining idiomatic Scala client code -- the abstractions should not show up in a profiler! Re-articulate HBase's data structures rather than force it into an ORM-style atmosphere. A rich set of base classes for writing MapReduce jobs in hadoop against HBase tables. Provide a maximum amount of code re-use between general Hbase client usage, and operation from within a MapReduce job. Use Scala's type system to its advantage--the compiler should verify the integrity of the schema. Be a verbose DSL--minimize boilerplate code, but be human readable!"

Mapa del ecosistema de Docker.

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Excelente artículo. Habría que distribuirlo por unas cuantas oficinas.