http://oad.simmons.edu/oadwiki/Data_repositories
Blake Naccarato blakeNaccarato
blakeNaccarato
/ Research data and preprint repositories.md
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January 13, 2024 01:15
Research data and preprint repositories
blakeNaccarato
/ $ regress_actual_versus_mean.md
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January 12, 2024 04:50
boilerdata gists
blakeNaccarato
/ $flatten-typer-nested-namespaces.md
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January 13, 2024 01:15
How to flatten nested namespaces when creating a Typer CLI.
blakeNaccarato
/ Installing pyright while avoiding "return non-zero exit status 2" on Windows.md
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January 13, 2024 01:15
Installing pyright while avoiding "return non-zero exit status 2" on Windows
Mirrored from this comment
The advice by @uglycoyote above works, with some caveats. Not that you actually have to run .\nodeenv\scripts\Activate.ps1 instead of \nodeenv\Scripts\activate in his version.
But let's say you have a virtual environment for your project at .venv in the root of the project, with project dependencies (say pandas) in there, as well as pyright installed via pip install pyright. If you had run npx -y pyright out of a separate nodeenv folder like the above solution, it won't "know" about your pandas dependency over in .venv, and will complain whenever it sees pandas in your code.
There must be an @overload on __add__ somewhere in pint which unintentionally matches to datetime. If two quantities are added, unit checkers artificially restrict allowable operations to those supported by datetime.
from pint import UnitRegistry
blakeNaccarato
/ Docker GUI apps in WSL2, NASA GUNNS.md
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January 13, 2024 01:16
Docker GUI apps in WSL2, NASA GUNNS
docker run -d -v thermal:/home/gunns/user/ gunns_loaded Also probably need to do something like
Except 7000:7000 isn't necessary, I think?
docker run -id -v thermal-2022-08-18-main-453c43937da48edaf63cdd1dd2d868c3:/root -p 7000:7000 --name gunns_loaded gunns_loaded
blakeNaccarato
/ $ Pandas formatter for Jupyter notebooks.md
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January 13, 2024 01:16
A Python notebook with helper functions. `set_dtypes` to update column data types. `display_df` displays dataframes (with truncation) in the desired number format. Sets Jupyter notebook precision to the same number format.
blakeNaccarato
/ Mnemonic device to `tar` flags.md
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January 13, 2024 01:17
Mnemonic device to remember `tar` flags
Original comment by /u/darkon
tar cr to cat them all
tar tf to find them
tar xf to extract them all
and in the filesystem bind them
Original comment by /u/hak8or
For others looking into this topic, I highlybsuggest this cppcon talk. He goes over making a c++ based project on a small embedded system while having the assembly output on the side.
As he adds functionality, he talks about how the compiler optimizes away everything, while showing the assembly output as proof. I highly suggest it, and often point people to it who are still stuck in the grossly outdated mindset of c++ having no place in embedded.
It's also an amazing way to filter out candidates who claim to know how to do software development on embedded, when in actuality they are set in their old ways and don't keep up with the field in general.
blakeNaccarato
/ Data science reading list.md
Last active
January 13, 2024 01:17
Data science reading list
Original comment by /u/save_the_panda_bears
The Bible is technically a series of books that form a cohesive narrative. In that sense, here is my Bible of Data Science roughly divided into a classical stats OT and a more modern ML NT:
The Law - The mathematical foundations
Statistical Inference - Casella & Berger
History - Foundational works that provide additional context for more advanced concepts