Clark Fitzgerald
2.1K posts

Clark Fitzgerald
@clarkfitzg
Statistics Professor @ Sacramento State
Sacramento, CA Katılım Haziran 2011
437 Takip Edilen323 Takipçiler

"While there is usually one way to do things right, the ways to screw something up are infinite." stackoverflow.blog/2020/07/13/tal…
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@matloff @KWittfogel In terms of having most of the language written in Julia. With code analysis in R it's such a barrier to get to C code. Then there are other things like the type union for missing values docs.julialang.org/en/v1/manual/m… that are nice for data analysis.
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@clarkfitzg @KWittfogel Well thought-out in terms of coding style?
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Debuggers are so nice. Blog post: introduction to #debugging in #julialang with inspiration from @matloff
webpages.csus.edu/fitzgerald/jul…
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@matloff @KWittfogel Most of the Julia language design I've seen seems well thought out.
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@KWittfogel @clarkfitzg On the plus side, it's very fast, and has various ways to tinker. (One can even inspect the compiled code from the interactive prompt!) On the neg. side, I fear a "Pandas" situation, where people develop packages without a deep understanding. Doesn't seem to be gaining momentum.
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Clark Fitzgerald retweetledi

Interested in scientific visualization, Python and fusion energy research? We're hiring for a 6 month position at @GoogleAI Applied Sciences: goo.gl/6rJ7Cy
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TIL about GNU parallel. Similar API to xargs. gnu.org/software/paral…
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Clark Fitzgerald retweetledi

I left employment at Anaconda Inc. last week.
I start employment at NVIDIA next month.
Surprisingly little about my work will change.
More details: matthewrocklin.com/blog/work/2018…
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Clark Fitzgerald retweetledi

Here are 6k accepted #rstats answers that use/mention #rdatatable where the question was not about data.table. (Distinct from the 8k questions tagged data.table.) Would love to see some data science on this to help guide the project. Anyone interested? stackoverflow.com/search?q=%5BR%…
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The web based UI seems great too: usaspending.gov/#/explorer/obj…
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USAspending.gov offers their entire database as a Postgres dump. Materializes to ~1TB! #BigData #opendata files.usaspending.gov/database_downl…
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The caching in #rstats bigmemory package worked perfectly for an application that moved through small neighborhoods of a large matrix. Nice work by @kaneplusplus et. al. cran.r-project.org/package=bigmem…
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Clark Fitzgerald retweetledi

I'm pleased to announce xarray v0.11:
#v0-11-0-7-november-2018" target="_blank" rel="nofollow noopener">xarray.pydata.org/en/stable/what…
This release includes:
- file-storage refactor for performance with @dask_dev
- better support for calendars used in climate science
- lots of other miscellaneous API clean-ups, bug-fixes and enhancements
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> as.character(list(numeric()))
[1] "numeric(0)"
> as.numeric(list(numeric()))
[1] NA
> as.numeric(list())
numeric(0)
#rstats🤔
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Cool use case for #metaprogramming:
Given a table with many equations in text, turn them into functions and call them on observations in another table.
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