FEATURES Build Scripting assistance No-code test builder Recorder Test-as-code JavaScript TypeScript Java Kotlin Scala Postman NEW Advanced protocols gRPC MQTT
Gatling Load and Performance testing - Open-source load and performance testing
FEATURES Build Scripting assistance No-code test builder Recorder Test-as-code JavaScript TypeScript Java Kotlin Scala Postman NEW Advanced protocols gRPC MQTT
Scrooge — Scrooge 24.2.0 documentation
Scrooge¶ Scrooge is a thrift code generator written in Scala, which currently generates code for Scala, Java, Cocoa, Android and Lua. It’s meant to be a replacement for the apache thrift code generator, and generates conforming, binary-compatible codecs by building on top of libthrift. Since Scala is API-compatible with Java, you can use the apache thrift code generator to generate Java files and
How Haskell is Changing my Brain
Yoneda Yay! Why Haskell? Haskell syntax looks different. But once you learn basic Haskell syntax, a huge world of implementations opens up to you. Many Haskell library functions exist in other languages too, for example in scalaz. Haskell for Learning We can understand abstractions and concepts (like Yoneda!) through Haskell. We can develop our learning skills themselves through Haskell. Haskell f
Grundlefleck's Blog - Using Scala Will Make You Less Productive
… in an uncontrolled study, in which I reflect on my personal experience, I feel like I’m less productive. Therefore, you will be less productive as well, QED. Well, I think I can safely tick the ‘science’ check box. In this lengthy post, I’ll share my thoughts and opinions on Scala, and moving to it for day-to-day coding. Using a cavalcade of flawed data; logical fallacies; biased opinion; startl
takeda-soft.jp - takeda soft リソースãŠã‚ˆã³æƒ…å ±
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Hello Haskell, Goodbye Scala — Josh Bassett
22nd January 2013 I spent a fair chunk of my free time last year teaching myself functional programming in Scala. I read Scala For The Impatient and countless other blog posts. I laughed, cried, and managed to learn a great deal. Earlier this year I decided to ditch Scala for Haskell and get back to some purely functional roots. I thought I’d reflect on my decision a little. Functional By Conventi
SIP-14 - Futures and Promises
By: Philipp Haller, Aleksandar Prokopec, Heather Miller, Viktor Klang, Roland Kuhn, and Vojin Jovanovic This SIP is part of two SIPs, which together constitute a redesign of scala.concurrent into a unified substrate for a variety of parallel frameworks. This proposal focuses on futures and promises. Introduction Futures provide a nice way to reason about performing many operations in parallel– in
Scalaã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚’ç°¡å˜ã«åˆ‡ã‚Šæ›¿ãˆã‚‰ã‚Œã‚‹"svm"ã£ã¦ãƒ¤ãƒ„作ã£ãŸ (冷やã—ä¸è¯çµ‚ã‚ã‚Šã¾ã—ãŸ) - ( ꒪⌓꒪) ゆるよã‚日記
ã¾ãタイトルã®é€šã‚Šãªã‚“ã§ã™ãŒ(冷やã—ä¸è¯ã¯çµ‚ã‚ã£ã¦ã¾ã™)ã€Rubyã ã£ãŸã‚‰rvmã¨ã‹Pythonã ã£ãŸã‚‰virtualenvã¨ã‹ã€ä½¿ã†ãƒãƒ¼ã‚¸ãƒ§ãƒ³åˆ‡ã‚Šæ›¿ãˆã‚‰ã‚Œã‚‹ãƒ¤ãƒ„ã‚ã‚“ã˜ã‚ƒãªã„スカ? Scalaã§ã‚‚ã‚ã£ãŸã‚‰ã„ーãªãƒ¼ã¨æ€ã£ã¦ã‚·ã‚§ãƒ«ã‚¹ã‚¯ãƒªãƒ—トã§æ›¸ãã¾ã—ãŸã€‚Scalaã®å ´åˆã¯ã€ä¾å˜ãƒ©ã‚¤ãƒ–ラリをランタイムã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³æ¯Žã«åˆ‡ã‚Šæ›¿ãˆã‚‹å¿…è¦ã¯ãªã„ã®ã§ã€å˜ç´”ã«SCALA_HOMEを切り替ãˆã‚Œã°äº‹è¶³ã‚Šã‚‹ã£ã¦ãƒ¼è¨³ã§ã€‚ ã“ã“ã«ç½®ã„ã¦ã‚ã‚Šã¾ã™ã€‚ yuroyoro/svm · GitHub ã“ã®å‰trunkã«å…¥ã£ãŸDynamic typeã®èª¿æŸ»ã‚’ã™ã‚‹ã¯ãšãŒã€ä½•æ•…ã‹ã‚·ã‚§ãƒ«ã‚¹ã‚¯ãƒªãƒ—トを書ã始ã‚ã¦ã„ãŸâ€¦â€¦ã€‚何を言ã£ã¦(ry æ¦‚è¦ ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã•ã‚Œã¦ã‚‹Scalaã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚’切り替ãˆãŸã‚Šã€æŒ‡å®šã—ãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚’ダウンãƒãƒ¼ãƒ‰ã—ã¦ããŸã‚Šã§ãã¾ã™ã€‚ ã“ã„ã¤ã‚’使ãˆã°ã€æ°—軽ã«nightly buildを試ã—ãŸã‚Šã€stableã«æˆ»ã£ãŸã‚Šã€
ScalaSTM — Library-Based Software Transactional Memory for Scala
Welcome Welcome from the creators of Scala STM. We’ve built a lightweight software transactional memory for Scala, inspired by the STMs in Haskell and Clojure while taking advantage of Scala’s power and performance. ScalaSTM is a single JAR with no dependencies, and includes An API that supports multiple STM implementations A reference implementation based on CCSTM Scalable concurrent sets and map
Concurrency with Actors, Goroutines & Ruby - igvita.com
By Ilya Grigorik on December 02, 2010 The world of concurrent computation is a complicated one. We have to think about the hardware, the runtime, and even choose between half a dozen different models and primitives: fork/wait, threads, shared memory, message passing, semaphores, and transactions just to name a few. Hence, not surprisingly, when Bruce Tate asked Matz, in an interview for his recent
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Chris Loy
http://ahmedsoliman.com/2014/03/26/will-java-8-kill-scala/
Riak and Scala at Yammer
GitHub - twitter/finagle: A fault tolerant, protocol-agnostic RPC system
GitHub - ensime/ensime-server: ENSIME JVM Process
The Why and How of Scala at Twitter
Rainbird: Realtime Analytics at Twitter (Strata 2011)
GitHub - timperrett/lift-in-action: Source code for the book "Lift in Action", publishing on Manning Q4 2011
English (US)
GitHub - twitter-archive/flockdb: A distributed, fault-tolerant graph database
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