test-file | Check file attributes

I have a data set (test-file.csv) with tree columns:

I have a simple NodeJS app with connection to mongodb which are all started using docker compose. The problem it that if mongo is not initiated yet - NodeJS app throws an error that it cannot connect to mongodb:

I am having a hard time piping a file to Get-Content (version PS 5.1).

Module code:

I am trying to define a make-memoize function that has a function f as argument. The idea is that make-memoize would return a procedure f that runs with memoization. I have been able to return a procedure after defining make-memoize with the function f as parameter. However, I haven't been able to actually apply the function to say add, subtract or multiply a number. ie. If I apply make-memoize with add-one function as parameter to number 28, I should get 29 as the result.

Here is what I got so far:

I have a simple python3 script running on ubuntu server 20.04 that tries to call clamd (clamav-daemon process) library to scan a file. The scan ping() and version() function all work correctly. However when I actually do a test write and scan, i get the following error:

I'm learning the mechanism of Event-Loop in Node.js, and I'm doing some exercises, but have some confusions as explained bellow.

I'm trying to transform a filename automatically in VSCode in two ways. Let's say I have test-file-name.md, I want to end up with Test File Name in my document. Right now I can do both part of the transform separately but I'm struggling to find how to combine them.

1. To remove all the - and replace them with a space I do this: ${TM_FILENAME_BASE/[-]/ /g}
2. And for capitalizing the first letter of each word I do: ${TM_FILENAME_BASE/(\b[a-z])/${1:/upcase}/g} (the \b is probably useless in this case I guess)

I've tried multiples way of writing them together but I can't find a way to have them one after the other.

Hej, I´m an absolute beginner in Python (a linguist by training) and don´t know how to put the twitter-data, which I scraped with Twint (stored in a csv-file), into a DataFrame in Pandas to be able to encode nltk frequency-distributions. Actually I´m even not sure if it is important to create a test-file and a train-file, as I did (see code below). I know it´s a very basic question. However, to get some help would be great! Thank you.

This is what I have so far:

I currently run mocha tests with npm scripts like