Michael Waskom

@michaelwaskom

Postdoc in the Center for Neural Science at NYU. Decision-making researcher and data aesthete.

New York, NY
cns.nyu.edu/~mwaskom
Vrijeme pridruživanja: ožujak 2012.
35 fotografija ili videozapisa Fotografije i videozapisi

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  1. Prikvačeni tweet
    9. lis 2019.

    Really delighted to be part of this special issue about the importance of behavior in neuroscience: . Our contribution focuses on the role of psychophysical approaches in studying higher-order cognition

    7 proslijeđenih tweetova 38 korisnika označava da im se sviđa
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  2. 4. velj

    I think it would be healthier if we all acknowledged that microsecond updates on win probability estimates for the Iowa caucus are entertainment, not news.

    1 reply 9 korisnika označava da im se sviđa
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  3. proslijedio/la je Tweet
    30. sij

    Pandas 1.0 is here! * Read the release notes: * Read the blogpost reflecting on what 1.0 means to our project: * Install with conda / PyPI: Thanks to our 300+ contributors to this release.

    18 replies 964 proslijeđena tweeta 2.417 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    29. sij

    My lab, the Stanford Language and Cognition Lab, is looking for a new lab manager! We study language learning and cognitive development. Lots of ways to get involved in research and learn new skills/methods in a fun, supportive environment. Come join us!

    1 reply 85 proslijeđenih tweetova 88 korisnika označava da im se sviđa
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  5. 24. sij

    I have just released versions 0.9.1 and 0.10.0 of seaborn, a Python library for data visualization. The new versions contain a number of improvements, and version 0.10.0 drops support for Python 2. Check out the release notes for more information:

    105 proslijeđenih tweetova 457 korisnika označava da im se sviđa
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  6. 24. sij

    Speaking of looking at your data...

    1 korisnik označava da mu se sviđa
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  7. 24. sij

    IMO the real lesson here is “no matter what quantitative approach you take, *look at your data*”

    1 reply 2 proslijeđena tweeta 12 korisnika označava da im se sviđa
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  8. 24. sij

    Neat example, but wouldn’t a classical approach using domain specific knowledge (express weight/height as BMI) both perform very well and offer some explanatory insight about what the real difference is?

    Sumo wrestlers and basketball players ⛹️‍♀️ may be statistically indistinguishable (p=0.1) if you compare their weights or height, but multivariable approach (height&weight) has >90% classification accuracy. This is an essential lesson for psychiatric neuroimaging!
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  9. 23. sij

    Great library name

    I'm proud in to introduce evidently, a python package for simulating from evidence accumulation models. Unlike other packages, it focuses on the time course of these models, and should be particularly useful for looking at their EEG correlates!
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    1 reply 5 korisnika označava da im se sviđa
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  10. 22. sij

    There is now a 0.10.0.rc0 version of seaborn on PyPI as well. Please test. These will be simultaneously released and are mostly identical, except that 0.10 drops Python 2.

    There is a release candidate for seaborn 0.9.1. Please test it out, especially if you use clustermap: pip install seaborn==0.9.1.rc0 Also, caveat dawdler, this will be the last seaborn release to support Python 2.
    3 proslijeđena tweeta 7 korisnika označava da im se sviđa
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  11. 22. sij

    There is a release candidate for seaborn 0.9.1. Please test it out, especially if you use clustermap: pip install seaborn==0.9.1.rc0 Also, caveat dawdler, this will be the last seaborn release to support Python 2.

    9 proslijeđenih tweetova 39 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    6. sij

    Any time you tell a project maintainer that something is "simple": 1. You're wrong 2. The code change may be small, but there's other process-related details like tests, documentation, etc. 3. You just insulted the maintainer by saying you know better than them 4. You're wrong

    5 replies 81 proslijeđeni tweet 404 korisnika označavaju da im se sviđa
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  13. proslijedio/la je Tweet
    7. sij

    I summarized some of my thoughts on grant-based funding of open source software in a new blog post: Don't fund software that doesn't exit. cc

    11 replies 91 proslijeđeni tweet 221 korisnik označava da mu se sviđa
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  14. 17. pro 2019.

    What’s an example of an innate mammalian behavior where we really understand the neural mechanism?

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  15. 14. pro 2019.

    Matplotlib is referenced by over 10,000 items in the google scholar index over this time range (certainly an underestimate of its actual use).

    In 9 years of using Python for science stuff, I don't think I've ever used Matplotlib once without cursing it
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    1 reply 10 korisnika označava da im se sviđa
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  16. 12. pro 2019.

    I have (many years too late) wrapped my head around the xarray library, and it is just delightful

    12 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    21. stu 2019.

    Now Hiring: Matplotlib Research Software Engineering Fellow

    1 reply 86 proslijeđenih tweetova 70 korisnika označava da im se sviđa
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  18. proslijedio/la je Tweet
    27. stu 2019.

    He also wrote the occasional stunning poem.

    1 reply 1 proslijeđeni tweet 6 korisnika označava da im se sviđa
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  19. proslijedio/la je Tweet
    25. stu 2019.

    now in : in the robust modeling discussion, argues that we need to make visualisation one of our corner stones

    5 proslijeđenih tweetova 11 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    18. stu 2019.

    Emcee is one of the useful packages supported by scientists. work enables over 100 papers a month

    The paper describing the newest release of emcee has been accepted for publication in !
    1 reply 3 proslijeđena tweeta 41 korisnik označava da mu se sviđa
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  21. proslijedio/la je Tweet
    9. stu 2019.

    i wanna dance with somebody - whitney houston

    375 replies 7.217 proslijeđenih tweetova 23.008 korisnika označava da im se sviđa
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