ぼくのかんがえたさいきょうのLL

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1 like•1,328 views

This document discusses the author's experiences with various programming languages and technologies over the years including Lightweight Language, Haskell, Scala vs Kotlin, Smalltalk, and Lexically scoped Lisp. It also mentions how AsakusaSatellite and @mzp have grown and reflects on the author's life in Nagoya.

Technology

LL

partake
LL(Lightweight Laungage; )
2000

LL

LL

LL

( )

D vs C pLus pLus
HaskeLL
ScaLa vs kotLinSmaLLtaLk
waLLabimochi 2011
How are AsakusaSateLLite growing with @mzp
LexicaLLy scoped Lisp
Look back on my Nagoya Life

25

LL
mzp

LLL , LLLL , LLLLL , ...
ML , NL , OL , ...

This document provides a summary of an individual's background and experiences including programming languages, conferences, and meetups. It includes the following information in 3 sentences: The document identifies an individual named bleis-tift and lists their experiences with programming languages like F#, C#, Git, and Vim as well as their involvement with Meetup groups focused on test-driven development, source code management, and more. Various conferences and meetups are listed that they have attended related to programming topics such as .NET, Ruby, F#, JavaScript, functional programming, and more. Locations mentioned include Nagoya, Japan where several meetups on topics such as Perl, OCaml, Scala, and development practices were held.

SI屋のためのF# ～DSL編～

bleis tift

輪るビングドラム.NET

bleis tift

The document discusses using Jenkins for continuous integration of .NET projects. It recommends installing plugins for Git, MSBuild, NUnit and other tools to integrate them with Jenkins. The Groovy and PowerShell plugins allow adding custom build steps. Overall Jenkins is presented as a good option for continuous integration of .NET projects by automating builds and running tests on each code change.

仕事で使うF#

bleis tift

PCさえあればいい。

bleis tift

No more Legacy documents

効果の低いテストの話

テストの自動化を考える前に

札束でExcelを殴る

.NET系開発者から見たJava

yield and return (poor English ver)

bleis tift

This document discusses the differences between using yield and return in computation expressions in F#. It presents several implementations of computation expressions to demonstrate how yield and return can be distinguished. The key differences are: - yield continues the remaining computation expression, while return stops any remaining expressions from executing. - Several approaches are presented: using exceptions, a state field on the builder, and passing state as an argument. The state argument approach provides a clear separation of yield and return without sharing state between uses of the builder. - Continuations are also proposed as an implementation, where yield calls the continuation and return discards it. This approach makes the symmetry between yield and return very clear.

現実(えくせる)と戦う話

bleis tift

ラムダでウィザード滅せよ手続き、とチャーチは言った (※言ってません)

bleis tift

async/await不要論

bleis tift

VBAを書きたくない話(Excel-DNAの紹介)

bleis tift

JSX / Haxe / TypeScript

bleis tift

F#で始めるスマートフォンアプリ

bleis tift

SCMBC闇LT資料

bleis tift

SCMBC Git入門セッション発表資料bleis tift

SCM Boot Camp

bleis tift

This document summarizes the key differences between centralized version control systems (CVS) and distributed version control systems (DVCS). It explains that DVCS allow for non-linear development with features like rebasing and branching that are not possible in CVS. Examples of DVCS like Git and Mercurial are given. The document also discusses how to migrate from CVS to a DVCS and advantages of using continuous integration with a DVCS.

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