How to Pick a Language
http://web.mac.com/jimbokun/iWeb/Site/Blog/AB35C167-7755-4113-938C-968F65256D76.html

Interesting article about how to pick a language

computer programming langugage

COULEUR et LUMIERE. Superbe outil web a détourner avec tout le bonheur de l'Ecole primaire entre ARTS PLASTIQUES et Sciences / Decouverte du monde +++

choose and match colors

Color Scheme Designer

21 Aplicativos WEB que auxiliam na escolha da palheta de cores.

supports multiple languages but still kinda alpha

Shell pour les langages scriptés (dont Scheme, Scala, et Python)

“In this course we will be using the programming language Lisp...” Argh! Not that again! What is it with Lisp? Ok, maybe at Harvard they do that sort of thing, but this was MIT! Don't they hack computers here?

“If you already know how to program, you may be at a disadvantage because you will have to unlearn some bad habits.”

interesting account of someone's first taste of lisp

Free online tool for color palette design and matching

book

StyleTime has a helpful article about creating colour palettes.

小さい処理系のまとめ, lisp, scheme, forthなどなど

A function accepts input and produces an output. Suppose we have a "chocolate-covering" function that produces the following outputs for the corresponding inputs: peanuts -> chocolate-covered peanuts rasins -> chocolate-covered rasins ants -> chocolate-covered ants We can use Lambda-calculus to describe such a function: Lx.chocolate-covered x This is called a lambda-expression. (Here the "L" is supposed to be a lowercase Greek "lambda" character). If we want to apply the function to an argument, we use the following syntax: Functions can also be the result of applying a lambda-expression, as with this "covering function maker": Ly.Lx.y-covered x We can use this to create a caramel-covering function: (Ly.Lx.y-covered x)caramel -> Lx.caramel-covered x (Lx.caramel-covered x)peanuts -> caramel-covered peanuts Functions can also be the inputs to other functions, as with this "apply-to-ants" function: Lf.(f)ants

@mobilebooks Simply Scheme: Introducing Computer Science http://url4.eu/dPaG [from http://twitter.com/sbepstein/statuses/4986924979]

This site exists to make it easier to use Clojure rather than Scheme while working through SICP.

This site exists to make it easier to use Clojure rather than Scheme while working through SICP. The folks behind SICP were kind enough to release it under a Creative Commons Attribution-Noncommercial 3.0 Unported License, which will allow me to annotate the text and adapt its source code and exercises to fit the Clojure language.

* Why MIT switched from Scheme to Python

I gave a talk at London Ruby User Group yesterday, based on the work I’ve been doing on Heist, my Scheme interpreter project. I wrote the core of a basic Scheme interpreter in about 15 minutes as a live-coded demo (well, kind of – the coding was pre-recorded so I could focus on talking), which seemed to go down pretty well.

15分で作るScheme interpreter in Ruby.

A talk on how to implement a Scheme interpreter in 15 minutes. The parsing is taken care of primarily by Treetop, a syntactic analysis / parser creation DSL for Ruby.

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Teoria da cor parte 3

How I Hacked Hacker News (with arc security advisory)

Create and share Visual Studio color schemes

Visual Studio color schemes

An exhaustive exploration of recursion, tail calls and TCO

Why Did M.I.T. Switch from Scheme to Python?

The freshman software engineering course (...) is now nearly thirty years old. Engineering has changed quite a lot in thirty years. Since 1995, Gerry and his co-author Prof. Hal Abelson have advocated changing the freshman curriculum radically, not basing it on SICP. In 1980, computer engineering was based on starting with clearly-defined things (primitives or small programs) and using them to build larger things that ended up being clearly-defined. Composition of these fragments was the name of the game. However, nowadays, a real engineer is given a big software library, with a 300-page manual that’s full of errors. He’s also given a robot, whose exact behavior is extremely hard to characterize (what happens when a wheel slips?).

"In 1980, computer engineering was based on starting with clearly-defined things (primitives or small programs) and using them to build larger things that ended up being clearly-defined. Composition of these fragments was the name of the game... Nowadays, a real engineer is given a big software library, with a 300-page manual that’s full of errors. He’s also given a robot, whose exact behavior is extremely hard to characterize (what happens when a wheel slips?). The engineer must learn to perform scientific experiments to find out how the software and hardware actually work, at least enough to accomplish the job at hand. We may not like it this way (”because we’re old fogies”), but that’s the way it is..."

Dan Weinreb’s blog » Blog Archive » Why Did M.I.T. Switch from Scheme to Python?

Some explanation of why MIT switched from Scheme to Python.

Lisp Dialects 比較

Formerly PLT/Dr Scheme

With Racket, you can script command shells and web servers; you can quickly prototype animations and complex GUIs; regexps and threads are here to serve you. To organize your systems, you can mix and match classes, modules or components. Best of all, you start without writing down types.

Implementing a programming language is an experience no programmer should go without; the process fosters a deep understanding of computation, and beside that, it's fun!

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Writing a new programming Language