ehudla

40 ms·

451.
Erik Winfree(dna.caltech.edu)
2 points by ehudla 11y ago|0 comments
452.
by ehudla 11y ago
Or do...
453.
by ehudla 11y ago
I'm sure we can come up with some more interesting uses!
454.
Syllabus – Digital History, graduate level(sciencespiesandhistory.blogspot.com)
17 points by ehudla 11y ago|3 comments
455.
The art of scan-reading(patthomson.net)
2 points by ehudla 11y ago|0 comments
456.
by ehudla 11y ago
That's the old (1966) paper, not the 2006 reflections.
457.
The Open Syllabus Project(opensyllabusproject.org)
47 points by ehudla 11y ago|8 comments
458.
Seshat: Global History Databank(seshatdatabank.info)
2 points by ehudla 11y ago|0 comments
459.
When we take turns speaking, we chime in after a culturally universal short gap(theatlantic.com)
69 points by ehudla 11y ago|58 comments
460.
Models in biology: ‘accurate descriptions of our pathetic thinking’ (2014)(biomedcentral.com)
32 points by ehudla 11y ago|4 comments
461.
by ehudla 11y ago
It's not a coincidence that it was phrased as a question...
462.
by ehudla 11y ago
The classic 1966 paper is here (the link here is to a piece from a journal issue commemorating that paper's 40th anniversary): https://news.ycombinator.com/item?id=10961672
463.
by ehudla 11y ago
Transcend the piece. Go read more nuanced accounts in the scholarly literature. It might still be confusing, since the issues become rather subtle when you delve in, but it will be rewarding I hope.
464.
Tipping point models(nbviewer.jupyter.org)
2 points by ehudla 11y ago|3 comments
465.
by ehudla 11y ago
Sorry about that. I don't know an open version.
466.
Strategies of abstraction(link.springer.com)
3 points by ehudla 11y ago|5 comments
467.
The Strategy of Model Building in Population Biology (1966) [pdf](mechanism.ucsd.edu)
12 points by ehudla 11y ago|0 comments
468.
by ehudla 11y ago
> isn't that actually quite a strong argument for "biological determinism" Good question! You should go read some philosophy of biology, if you are interested in these issues, there's ton of stuff about this debate.
469.
The People’s Scientist: Richard Levins’ emancipatory vision of science(jacobinmag.com)
9 points by ehudla 11y ago|7 comments
470.
by ehudla 11y ago
Thanks. I must say that except the inversion example, this is still not specific enough for me to decide if SymPy (and other tools) are inferior, as you claim -- in particular, I can't tell if they are going to be inferior in doing the
471.
by ehudla 11y ago
> The open source tools that exist are indeed inferior and that's why I cannot use them. Can you be more specific? It might be interesting to hear if people found viable solutions to specific concerns.
472.
by ehudla 11y ago
If you are looking for cool examples, download Norvig's IPython notebooks and play with them. As a bonus check out this very cool model of economic inequality. http://norvig.com/ipython/README.html http:/&#x
473.
by ehudla 11y ago
NetLogo is a really easy and fun way to play with ABMs. Once you produce data from your ABM simulation, load it into Jupyter (previously, IPython) or R Studio and explore the data.
474.
10 emacs productivity plugins(reddit.com)
3 points by ehudla 11y ago|0 comments
475.
by ehudla 11y ago
They should auto-create a blog for you, when you create a long message (twitter.com/user/blog/), and only include the link to the blogpost in your twitter stream.
476.
by ehudla 11y ago
Contrary to what he writes, I don't see how well this translates to disciplines doing pure rather than applied work.
477.
The humanities are booming, only the professors can’t see it(aeon.co)
1 points by ehudla 11y ago|0 comments
478.
Ask HN: Which degrees give the best intellectual returns?
2 points by ehudla 11y ago|2 comments
479.
by ehudla 11y ago
Do they have 20% time?
480.
Winston Churchill's Data Science Team(books.google.co.il)
1 points by ehudla 11y ago|0 comments

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