エンジンで公園の一部を自動化した。位置エネルギーでネツを発生させてエンジンを動かす。位置エネルギー⇒運動エネルギー⇒内部(ネツ)エネルギー比喩的な所はカタカナ表記YouTube版 https://www.youtube.com/watch?v=PynIUNLobdI
【公園】熱エネルギーを機械的エネルギーに変える仕組みを作った
エンジンで公園の一部を自動化した。位置エネルギーでネツを発生させてエンジンを動かす。位置エネルギー⇒運動エネルギー⇒内部(ネツ)エネルギー比喩的な所はカタカナ表記YouTube版 https://www.youtube.com/watch?v=PynIUNLobdI
やさしいIteratee入門
This document discusses the Play framework and how it starts a Play application from the command line using the ProdServerStart object. 1. The ProdServerStart object's main method creates a RealServerProcess and calls the start method, passing the process. 2. The start method reads server configuration settings, creates a PID file, starts the Play application, and starts the HTTP server provider.
J Can be Readable
You must be kidding me! It’s like programming using regular expressions… You’ll never make me do that again! I’m looking at the code and feel like an idiot. Isn’t it really an esoteric language like brain fuck? Does anyone really use it? And such programs can be read afterwards? quicksort=: (($:@(<#[), (=#[), $:@(>#[)) ({~ ?@#)) ^: (1<#) Perl is a trifle against it. About J language J — is a Korea
Map/Reduce: A Simple Explanation - Improve & Repeat
Indexes are a very important part of RavenDB. Without them you couldn’t find your documents. But before I can show how they are created and used I have to explain the Map/Reduce algorithm. Map/Reduce is used for processing large amounts of data and was invented at Google. You can find many explanations and even more formulas on Map/Reduce, but I found them always hard to understand and it took me
A Neighborhood of Infinity: Cofree meets Free
> {-# LANGUAGE RankNTypes, MultiParamTypeClasses, TypeOperators #-} Introduction After I spoke at BayHac 2014 about free monads I was asked about cofree comonads. So this is intended as a sequel to that talk. Not only am I going to try to explain what cofree comonads are. I'm also going to point out a very close relationship between cofree comonads and free monads. At the beginning of the talk the
高次元データの外れ値検出 - sfchaos's blog
高次元データの外れ値検出についてのメモ． 高次元データと次元の呪い 次元が大きくなるほど，点の間の距離は均一になっていく． 例として，2000個の点の各座標を一様乱数で発生させて，次元を変えながら点の間の距離の平均値，最大値，最小値，平均値±1σ，平均値±2σをみてみよう． library(ggplot2) set.seed(123) # 次元のリスト dims <- c(1:9, 10*(1:9), 100*(1:10)) # 算出する統計量 stats <- c("min", "mean-sd", "mean", "mean+sd", "max") # 発生させる点の個数 N <- 2000 # 各次元に対して算出した統計量を格納する行列 ans <- matrix(NA, length(dims), length(stats), dimnames=list(dims, stats))
「量子暗号に30年ぶりの新原理」？ 古田彩さん＆谷村省吾先生の解説まとめ
まとめ 「量子力学ってどうも騙されているようで納得できない」人のための量子力学入門連ツイ 『日経サイエンス』の記者兼編集者、古田彩さんによる「量子力学ってどうも騙されているようで納得できない」人のための、日経サイエンス７月号「特集:量子の地平線」の前説連ツイ。まだ続くようなので、暫定まとめです。 170201 pv 1507 310 users 151
私の闇の奥: 小保方問題（科学論の迷走）（２）
「ボルティモア事件」について何か書きたいと思う人は、前回のブログに引いたDaniel J Kevles の著書： 『THE BALTIMORE CASE A Trial of Politics, Science, and Character』(1998) をお読み下さい。副題に「政治、科学、登場人物の試練」とあるのは、この科学論文捏造事件の本質を性格づけるのに真に適切です。先ずはポリティクス、次にサイエンス、そしてキャラクター、この順序にも意味が込められています。重要な学問分野であるべき科学知識社会学（SSK, Sociology of Scientific Knowledge）のまことに不幸な迷走については、前回のブログでも取り上げました。「小保方問題」は医療産業用の科学知識の生産にかかわる社会学的あるいは政治経済動力学的な対象として扱われるべき問題であり、「ボルティモア事件」ではっ
Pipes Deconstructed - Chris Mahon
Introduction Haskell’s pipes library enables the construction of effectful stream processing pipelines from modular components. A pipeline is composed of stages that themselves comprise actions. This article examines the co-routine design pattern that co-ordinates actions distributed within and across pipeline stages and concludes by reducing a sample pipeline in terms of the underlying Proxy data
Guaranteeing memory safety in Rust | Air Mozilla | Mozilla, in Video
Event will be delayed due to technical issues # Abstract Rust is a new programming language targeting systems-level applications. Rust offers a similar level of control over performance to C++, but guarantees type soundness, memory safety, and data-race freedom. One of Rust's distinguishing features is that, like C++, it supports stack allocation and does not require the use of a garbage collector
Go 1.3 linker improvements | Dave Cheney
Go obtains much of its compilation speed from the Plan 9 compiler, of which it is a direct descendant. The Plan 9 toolchain deferred much of the work traditionally performed by a compiler to the linking stage and its performance was summarised in section 8 of this paper The new compilers compile quickly, load slowly, and produce medium quality object code. Because of the similar division of labour
Yeller - Tuning Clojure - Experiences from a 45x performance improvement
Tuning Clojure - Experiences from a 45x performance improvement This is a blog about the development of Yeller, The Exception Tracker with Answers Read more about Yeller here Recently, I added an automated diagnosis feature to Yeller. This feature has various pieces, many of which don’t impact performance. However, there was one place, where adding this feature impacted performance quite significa
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
Creating a Very Simple GUI System for Small Games - Part I
If you are writing your own game, sooner or later you will need some sort of user interface (or graphic user interface = GUI). There are some existing libraries lying around. Probably the most famous is CEGUI, that is also easy to integrate into OGRE 3D engine. A good looking system was also LibRocket, but its development stopped in 2011 (but you can still download and use it without any problem).
A Tour of Machine Learning Algorithms
In this post, we will take a tour of the most popular machine learning algorithms. It is useful to tour the main algorithms in the field to get a feeling of what methods are available. There are so many algorithms that it can feel overwhelming when algorithm names are thrown around and you are expected to just know what they are and where they fit. I want to give you two ways to think about and ca
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Reddit - Dive into anything
Jeremy Dagorn - Software engineer and story teller
HTTP/2 入門
【MV】初音MICの感染 feat. 初音ミク（公衆衛生ver.）
Great miscalculations: The French railway error and 10 others
BYO-HP-WIN64.md
jstolarek.com
Stanford School of Engineering - Stanford Engineering Everywhere
Redirecting...
GitHub - mikejsavage/rspt: A physically based renderer in Rust
Jupyter Notebook Viewer
http://fundeps.com/posts/haskell/2014-05-24-An-Experiment-with-Typed-Time/index.html
Skriv Markup Language
Introducing Wire Protocol Buffers
7 Startups - part 4 - Adding an asynchronous backend - The language-puppet website.
7 Startups - part 3 - An interpreter for the rules - The language-puppet website.
Search | Packt Subscription
GitHub - kolmodin/herl: Erlang BEAM emulator in Haskell
Reddit - Dive into anything
Drawing Happy Little Trees: Tree Meditation #2 - My Little Garden of Code
GitHub - csmith-project/creduce: C-Reduce, a C and C++ program reducer
How I Use Jug & IPython Notebooks