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I think that IPython is one of the best tools for scientists. Jupyter Notebooks that allow reproducible results, a lot of data-wrangling libraries, visualizations, distributed computing. I wish more scientists knew of IPython.

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yes - and the thing that makes python approachable is the syntax and standard formatting. I love LISP, I'm not confused or annoyed by the parens, but many people are. LISP would be more popular if there was a good (browser-based) hybrid structural editor with the keyboard-navigation familiarity of a text editor, in a notebook format where the LISP code is displayed like Python (the parens hidden, and handled automatically, but serialized as normal LISP code behind the scenes). This is not that hard to do, and we're nearly there:

* http://gorilla-repl.org/

* https://github.com/kovasb/session

(Also my own early abandoned experiments: http://celeriac.net/iiiiioiooooo/ http://celeriac.net/iiiiioiooooo/public/ http://celeriac.net/iiiiioiooooo-dom/ http://celeriac.net/io/public/)

See Wisp Scheme: http://srfi.schemers.org/srfi-119/srfi-119.html

It doesn't address the browser-based point.

GorillaREPL is very nice. There is also a Proto-REPL that looks very promising (https://github.com/jasongilman/proto-repl)

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