blakeNaccarato

Originally posted in microsoft/vscode-python#944 (comment)

A (perhaps not so awesome) workaround is to not use bash and instead use PowerShell as the default terminal for VSCode, then set up your PowerShell profile to load the environment and activate the virtual environment. Now, "Run Python File" and debugging will all load the proper environment. If you have certain tasks in tasks.json specially written for bash, most of these will still work, as pwsh has access to all the system utilities including sudo. See my note at the end of this comment for more details on tasks.json.

The workaround

Install PowerShell

Install PowerShell in your distro by adding the Linux Software Repository for Microsoft Products and running sudo apt install powershell afterwards, or else [follow one of th

blakeNaccarato

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

blakeNaccarato

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 I highly suggest it, and often point people to it who are still stuck in the grossly outdated mindset of c++ having no place in embedded.

https://youtu.be/zBkNBP00wJE

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

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

blakeNaccarato

Pandas formatter for Jupyter notebooks.ipynb

See boilercv.docs for updated implementation

blakeNaccarato

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

Pint intricacies

Type checkers assume that sums of Quantity can be datetime

Problem

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

Installing pyright while avoiding "return non-zero exit status 2" on Windows

Mirrored from this comment

Workaround for running pyright in a dependency-aware fashion

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.

blakeNaccarato

__main__.py

How to flatten nested namespaces when creating a Typer CLI.

blakeNaccarato

regress_actual_versus_mean.py

Try regressing average versus actual thermocouple temperatures.