Daiki Kudo's Projects
isucon8 with k-nasa
From https://apollographql-jp.com/tutorial/introduction/
An awesome asynchronous event-driven reactor for Ruby.
Fiber based asynchronous DNS resolver. This gem is a thin wrapper of resolv, and provides a Fiber with which you can make a DNS query asynchronously.
An asynchronous task scheduler used in user threads (= green threads) in Ruby language.
Here, I made a course registration system of University in Java. This is a project assigned in NC State University CSC216.
An awesome README template to jumpstart your projects!
Create our own DB from scratch.
Snippets of https://www.oreilly.com/library/view/programming-typescript/9781492037644/
【Rails6】Action CableでSlack風チャットアプリを作成 を写経
このレポは以下のページの写経である。 https://qiita.com/Ryoma0413/items/84777a0af1191ab2696d)
(現在進行中)このレポジトリは以下の写経から始まり、それを発展させて「認証機能つき」「データ永続化」されたチャットアプリを作る。http://wild-data-chase.com/index.php/2019/03/28/post-686/
https://app.codecrafters.io/courses/docker?track=ruby
https://app.codecrafters.io/courses/redis?track=ruby
https://app.codecrafters.io/courses/sqlite?track=ruby
This is a SNS app where you can post reports of your daily meals. This has features including facebook authentication, following other users, favoriting posts, and voting on posts of others.
This is my 5th project in Udacity Data Scientist Nanodegree Program. Through this analysis, I will evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent.
Domainのクローンアプリ
A React framework for building text editors.
DMM英会話の講師情報と受講者からの感想コメントをスクレイピングし、そのデータ解析をJupyter Notebook上で行った。
The Event Library (Fiber Scheduler) that designed for Ruby 3.0.
ファミマの商品をスクレイピングするjupyter notebook
Profile your own fiber scheduler in Ruby
This is my 1st project in Udacity Data Scientist Nanodegree Program. Through this analysis, I will evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent.
firestoreを使ったチャットアプリのチュートリアルをやってみた。(https://codelabs.developers.google.com/codelabs/firebase-web/index.html#0)
This is my 5th project in Udacity Data Analyst Nanodegree Program. Through this analysis, I investigated 7 million domestic records of the domestic flights of US in 2008 to understand when and why arrival delay occurs.
Try https://developer.ridgerun.com/wiki/index.php/Profiling_with_GPerfTools