Pinned Repositories
iOS-app-template
RoboVM iOS App Template
SpringBootWithKotlinSample
kmry's Repositories
kmry/akka-http-rest
Example of reactive REST service written on akka-http with slick
kmry/BaasboxDiarySample-Android
kmry/docker-neovim-nim
A dockerized version of my neovim setup with Nim, python3 and PHP.
kmry/dotty_examples
Example code of Dotty (Scala 3)
kmry/elastic-indexer4s
Stream your stuff into elasticsearch
kmry/elastic4play
Scala Framework for web applications using Elasticsearch
kmry/essential-slick-code
Source Code for the examples in Essential Slick
kmry/faunadb-importer
Importer tool to load data into FaunaDB
kmry/japanese-tokenizer
kmry/kobetu_kabu_draft
kmry/kuromoji4s
kuromoji for scala
kmry/learn_v_in_y_minutes
Learn V in Y minutes
kmry/memo
Memoization for Nim
kmry/morphological-analysis
kuromoji+neologdで形態素解析したい
kmry/nim_hello1
nim test codes from cloud9 env.
kmry/nim_nighty_space
To build Nim nighty build with nimble and good editor(spacemacs) on ubuntu(eg.cloud9 env.) for newcomer.
kmry/OpenWhiskSampleAction
kmry/Play-with-Spark
The easiest way to figure out how to connect Scala Play and Apache Spark
kmry/PlayR
Playing with Play and ReST - or a simple, uniform, and introspectable way to declare ReST api
kmry/pymedphys
A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better science.
kmry/saku
Markdown-based task runner
kmry/scala-di-library-comparison
kmry/scalajs-spa-tutorial
Tutorial for creating a simple Single Page Application in ScalaJS
kmry/slick-akka-http
The Slick Akka Http is a very simple json rest api showing one way of using akka http with slick 3 library for database access.
kmry/slick-repo
CRUD Repositories for Slick based persistence Scala projects.
kmry/spark-streaming-scala
kmry/swift3-ubuntu14-installer
A script for installing Swift4-dev on Ubuntu14, suitable for use on Cloud9 etc
kmry/t14e-cms
kmry/til
kmry/wikititledictionary
wikipediaのタイトルデータを用いて、データエンジニアリングを説明するサンプル。