shameless | sample application demonstrating a range of shameless

I'm starting a new project which requires a data warehouse, for which we'll be using postgres. (Shameless plug: swarm64 makes postgres a great DW option for datasets up to terabytes large)

I'm using apache airflow to orchestrate the workloads, but as I'm new to airflow, I'm not sure what the best practice is for the application's DB needs.

For some more context, I'm using airflow's docker-compose.yml, and I'm also an airflow newbie.

Noticing that the docker-compose already defines a postgres db:

I want to know how quickly some data returns to baseline after an initial peak (here at ca x=5);

The quadratic fit looks about right (from the figures option of matlab, shown below) - but I'm looking for a concise quantification of this curve, therefore I presume the 'decay rate' of the exponential function would be one very straightforward.

1. Is this assumption correct?
2. If yes, I looked at the formula on wiki for this, and attempted shamelessly to find a solve for the time constant (but unsuccessfully so). Can someone help me out, or is this actually a not so trivial problem?

edit: I was planning to find the peak using MathWorks' findpeaks() function, and the lowest point of the curve using the 'inverse' findpeaks() (as in: -y)

I have an alsa config file which I use to map stereo speakers on to my 5.0 speaker setup.

The file looks like this:

I'm having trouble uploading some form data to an API endpoint in vb.net.

Example From Vendor:

This my first attempt to pose a question to stackoverflow so please forgive if it is submitted incorrectly or is otherwise out-of-line

As a novice programmer of VBA, I am attempting to create and run a query to execute a User-created function to create a query with a Median() result.

I shamelessly plagiarized a Stack Overflow suggested answer for the VBA function. how to calculate median in Access query using function in VBa See below for my version.

The only changes to that function were to change the fieldname, the input query name and removal of the Optional function statements as it did not apply to my dataset.

The SQL view of the query "qryMedian" is:

I have a python script that queries some systems and then appends the results to a CSV file. This script runs once a week and then emails the CSV file as the last step. However when I open the attachment I get the information on the previous run but not the information from the current run.I can go to the machine running the script and see that the file actually has the current information.

Here are snippets: File Open:

Backstory: I recently got a Raspberry Pi 4 Model B and a Protoneer RPI CNC Hat, which it controls via the serial port (/dev/ttyAMA0). After I put it all together and it didn't work at all (either in Minicom or bCNC), I've been gradually trying to zero in on the source of the problem. My oscilloscope shows that I can control the relevant pins when using them as GPIOs, so I do not suspect a fundamental hardware problem. However, I am completely unable to provoke a response from the pins when using them as a serial port. I have written the below C program to characterize the issue as exactly as possible.

Problem: I have a serial port, /dev/ttyAMA0, and it doesn't work.

I'm searching R scripts and not sure why as.character() drops the `[`. Is there some way to get the code back correctly as a vector of strings?

Notice the `[`(. < 5) turns into (. < 5)[]

Note: I'm not looking for better ways to make this call as this isn't my code.

In reference to https://stackoverflow.com/a/11886837/1996022 (also shamelessly stole the title) where the question is how to capture the script's output I would like to know how I can additionally capture the scripts input. Mainly so scripts that also have user input produce complete logs.

I tried things like