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Michael Waskom Profile
Michael Waskom

@michaelwaskom

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Machine pedagogue and data aesthete. Creator of https://t.co/imXawO1Iwk. Currently @modal_labs, building a new way to develop in the cloud.

New York, NY
Joined March 2012
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@michaelwaskom
Michael Waskom
2 years
Some professional news: excited to say that I’ve joined @modal_labs to help build a completely new approach for developing data and AI applications in the cloud!.
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@michaelwaskom
Michael Waskom
2 years
My talk on the past and future of seaborn from #positconf2023 is now available on YouTube
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@michaelwaskom
Michael Waskom
2 years
Logistic regression is AI when it’s regularized by default ;).
@balazskegl
Balázs Kégl
2 years
LOL, techcrunch just called @scikit_learn, XGBoost and the full data science stack "good old fashioned AI". I don't know who'll be more upset, @GaryMarcus or @tunguz and @GaelVaroquaux?.
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@michaelwaskom
Michael Waskom
2 years
This is a well targeted ad in the sense that I also mostly use my Mac to make @matplotlib plots
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@michaelwaskom
Michael Waskom
2 years
@fperez_org It’s interesting to look back at the example notebook linked there, which has many of the core ideas almost as they are today
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@michaelwaskom
Michael Waskom
2 years
But then it got a little blip of attention on twitter from influential people like @fperez_org and a release felt harder to avoid (seaborn is so old, from the age of manual quote tweets)
@michaelwaskom
Michael Waskom
12 years
Well, I guess I should release Seaborn. RT @vandy_biostat @fperez_org Graphical Representations of Linear Models http://t.co/bBJFq0uFHr.
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@michaelwaskom
Michael Waskom
2 years
As a codebase, seaborn had already existed for ≈1.5 years at this point, but I had been pretty reluctant about committing to any “official” releases / maintenance (. I find that surprises people who ask me about how it started.
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github.com
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@michaelwaskom
Michael Waskom
2 years
Apparently it is ten years today since the first release of seaborn on PyPI 🎂.
@michaelwaskom
Michael Waskom
12 years
Since it's been getting attention, I tagged and released seaborn 0.1. You can get it with `pip install seaborn moss` (moss has stat utils).
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@michaelwaskom
Michael Waskom
2 years
For the full set of release notes, see the docs:
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@michaelwaskom
Michael Waskom
2 years
There’s a fresh new release of seaborn available on PyPI:. pip install seaborn==0.13.0. New features include some major improvements to categorical plots, support for alternate dataframe libraries, default theme/display configuration for so.Plot, and lots more.
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@michaelwaskom
Michael Waskom
2 years
RT @michaelwaskom: Please help test the release candidate for seaborn v0.13.0. pip install --pre seaborn==0.13.0rc0. This is a major updat….
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@michaelwaskom
Michael Waskom
2 years
Please help test the release candidate for seaborn v0.13.0. pip install --pre seaborn==0.13.0rc0. This is a major update with some deep changes and help surfacing any issues before the final release would be really appreciated.
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@michaelwaskom
Michael Waskom
2 years
RT @ylecun: A fun example of using Code Llama.
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@michaelwaskom
Michael Waskom
2 years
Sure, why not.
@ivanov
Paul “π” Ivanov - @[email protected]
2 years
Python in Excel (in Beta) @Microsoft🤝@anacondainc. Default imported libraries:.matplotlib.numpy.pandas.seaborn.statsmodels. only for Windows, needs internet access, code executed on MS servers without network or file access. see &
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@michaelwaskom
Michael Waskom
2 years
People sometimes ask what the “sns” is for, well, here you go, the truth is finally revealed
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@michaelwaskom
Michael Waskom
2 years
Questions on public fora are also an important source of feedback for software creators about where users are getting confused or running up against limitations. A closed loop with Bard or ChatGPT is maybe better for them in the short term, but what about over time?.
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@michaelwaskom
Michael Waskom
2 years
Like, I think it’s cool that GPT seems to know a lot about seaborn, and also really annoying that it knows nothing about improvements I’ve worked hard to introduce in the past two years.
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@michaelwaskom
Michael Waskom
2 years
This probably underrates the raw human drive to poast, but I think it��s a more realistic and imminent risk than most doom scenarios. It’s probably even more urgent in the domain of software….
@Thom_Wolf
Thomas Wolf
2 years
The disconnection between knowledge creators & knowledge consumers in Gen AI models is a pressing problem that's not yet discussed enough. Nobody will be excited to share knowledge on the internet if the default way to consume it becomes through anonymizing/unreferencing chatbots.
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@michaelwaskom
Michael Waskom
2 years
RT @Thom_Wolf: The disconnection between knowledge creators & knowledge consumers in Gen AI models is a pressing problem that's not yet dis….
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