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Hey folks, I'm the speaker in this video. Happy to answer any questions about IHaskell if you have any! You can install it using `cabal` or `stack` from Github [0].

By the way, if this stuff interests you -- Haskell, data analysis, interactive computing, science, visualization, etc -- please consider joining us at Karius. Karius is the biotech startup where I work, and we do a ton of really cool bioinformatics and high-performance data analysis and use Haskell for some of our infrastructure, and would love to hear from you. See our Who's Hiring post [1] for more info, or contact me!

Big thanks again to Joe for recording this, this was a fun talk to give and I hope you enjoyed it.

[0] https://github.com/gibiansky/IHaskell [1] https://news.ycombinator.com/item?id=10822842

Video doesn't really load well for me unfortunately. Is there a youtube mirror or transcript anywhere?
iPython really brought my Python to another level.

I expect the same to be true for Haskell... those second you spend passing between text editor and GHCi ... those milliseconds you could spend absorbing the basic and deep Haskell idiom