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Been hacking in Node.js and am really enjoying the saneness of this dev environment.
Some handy links before I forget :
- howto.no.de articles – especially Part I, II and III of ‘Learning Javascript with Object Graphs’
- Joyeur blogs – people working for Joyent on Node / DTrace / Solaris
- no.de Joyent Node hosting [ built atop - 'open' solaris, ZFS, DTrace ]
- NodeJitsu blog
- npm.mape.me – searchable Node.js Modules list
- connect-it guide – web framework with chained middleware layers
- express guide – article on express web framework for Node
- eventserver – Tom Lee’s internet tee piping for notifications
In other news.. Im hacking over ssh via a long thin pipe to my linode server – using a very erratic mobile broadband connection, arrgh!
Cant wait for ADSL to _finally_ be connected here, so I can watch Bryan Cantrill talk about Cloud Analytics :]
As an aside.. why Javascript? Consider
- Javascript is a totally distinct language from Java
- Javascript deserves its bum rap.. to mis-quote Dame Judi Dench, its bad parts are “arse-clench-ingly” bad :]
- The good parts of Javascript feel very nice, like a modern lisp inspired language, fairly concise, many valid idioms
- V8 js engine is fast
- Javascript callback mechanism fits async event IO really well
- Node.js embodies the above bullet point into a fine server development environment
- JSON, the Javascript native data format, is all the good things of XML with none of the bad
- feels like a unix-like web-plumbing philosophy
- can keep the same language syntax hat on when writing front end web apps and back end servers
Eclectic recent math-goodness :
Two nice video talks by Terry Tao on Random Matrices and Additive Combinatorics here
A programmers intro to the practical aspects of Flow Graphs at topcoder algorithm tutorials
PCM
Last but not least the superb ‘Princeton Companion to Mathematics‘.
In a nutshell, PCM is a readable survey-guide to modern math by the experts. Some links -
- The intro page autoplays a podcast interview with Tim Gowers, the editor
- Contents list with some downloadable sample chaptes
- Terry Taos many PCM contributions are discussed/previewed at his blog
- ‘Mathematics and Money’ chapter apparently has an intro to Quantitative Finance by Mark Joshi
- ‘Numerical Analysis’ sample chapter mentions John Butcher, a great ex prof from Auckland Uni.
Should be in print Nov 2008. Hopefully more articles from Tim Gowers’ and Terry Tao’s blogs will make it out in book form, with the momentum this will generate…
