wheelhouse | Swiss Army knife for Javascript Kubernetes

I'm trying to scrape information from this webpage, https://www.ncleg.gov/Laws/GeneralStatuteSections/Chapter14, (the info under the "Chapter 14" tab) and put it into a datafram with two columns in R, but these skills are out of my wheelhouse and I need some help. More specifically, I want one column with the G.S. numbers ("G.S. 14-1", "G.S. 14-1.1", etc.) and one column with the names corresponding to these G.S. numbers ("14.1 Felonies and Misdemeanors Defined", "14-1.1: Repealed by Session Laws 1993, c. 538, s. 2.", etc.). As text and not the links.

I've tried using the selector gadget, but this tool is pretty new to me and I don't really understand how to apply what I do with it in R.

Any advice or tips on how to do this?

I'm trying to build a star rating feature, and am surprised to find that the part that's giving me the most trouble is figuring out how to get the star shape. It seems to me that the most straightforward approach, given what I have built already, is to try and use an SVG star shape to create a clip path on the div elements that show the rating. I'm familiar with clip-path in a general sense, and have used it for more basic shapes, but am struggling a lot to understand how to use it with an svg and why my current code is not working (svgs are not exactly in my typical wheelhouse).

The code:

I am currently trying to implement symmetrical (AES256-GCM) encryption to a document before it gets saved into the database. Therefore I have hooked into the pre('save') method to grab data and encrypt it before it gets saved to the database. I need to do this to meet regulations which require all medical data to be encrypted and can only be decrypted by the user who owns the data. This is was for a bit of background

So I have a complex schema setup for the user which contains a lot of PII information so I can't post an example but I can give you a sanitised JSON structure of the data, that doesn't give away what I am working on. (NDAs...).

I'm learning JS and building a project based on a choose your own adventure text game.

What I would like, is on certain 'slides', for images to appear with the description text in the top half.

The way it works right now is that the slides are changed by the option choices pointing to a new slide id, which has a new value for text. That is then used to update the actual text element. My initial thought was to have an empty div, and then on certain slides have a variable update with test.png and use .src to give the div an image. However, this just means theres an ugly "no image found square" that shows up all the time.

Then I thought that perhaps on certain slides, I could assign a number to a variable image. This number would refer to an item in an array or list or something which is the image I want to show. The showTextNode function would then be checking for that number, and if it finds it, it will append an img child with the correct image. Then, moving to the next slide, the child would be removed.

My initial attempts to add an if loop checking if image is equal to a number do nothing except break everything! Right now, this solution is very much out of my wheelhouse, so if anyone can direct me to the right documentation or a guide or etc ... to learn about this, that would be awesome!

HTML

I'm building a JSON editor in React and right now I'm just fetching a json file from a static folder on the server and sticking it in a variable. I'd like to be able to use a file input and select any json file and read it into the variable.

Is this possible without a server?

That said, I also tried using an Express/Cors server but it's a bit outside my wheelhouse and I'm not sure how to install / run it on the production domain where this editor will live.

I'm trying to build wheel for mysqlclient
Base image Dockerfile

Julia is not in my wheelhouse yet, but I have been handed a Julia project to run the code within. This consists of a directory containing a main.jl, a Project.toml and a Manifest.toml.

I've read up a little on what the TOML files are for; to summarise my current understanding, they form a project or environment (not sure which, or what the real difference is).

I have installed Julia v1.3.1 at the command line by downloading the tar, decompressing and placing in my path. Typing julia at the command line opens the Julia CLI REPL as expected.

I have tried to run the code by using julia main.jl, this results in complaints about the required packages not being present, e.g.:

I created sample data as an image (I couldn't figure out how to put a table in):

Sample Data: this shows three stages of processing of the data

I have a number of people (4 people across the top). They have ranked 8 fruits and vegetables 1-8. The people (pickers) are then placed in a list where they get assigned the highest ranked fruit/veggie left in the pool based on their ranking.

So for example, in the first position, Tom goes first and has Apple ranked first so he would get assigned Apple. Then Andrew would get assigned his highest ranked fruit/veggie that was not previously selected. I would like to automate the population of the "pick" column.

I have looked through the questions here and elsewhere for a similar example. I thought perhaps this was possible to solve using array and index+match but I couldn't come up with a structure that worked. I could try to process this in something outside of Excel but I think that might be even more of a headache.

I thought there would be something via VBA but that is a little out of my wheelhouse.

How might this be achieved with built in Excel tooling?

I suppose one likely option would be selected items getting removed from the list as they are selected.

This would be a one time processing, but in the real data it is dozens of people with hundreds of rankings so it is a long list to process.

I am using Excel 2016 (16.0.11328.20420 64-Bit).

I have been trying to install Pandas on my Azure App Service (running Flask) for a long time now but nothing seems to work.

I tried to use wheel, created a wheelhouse directory manually and tried to install the relevant Pandas .whl file (along with its dependent packages) but it still doesn't work. This approach gives me the following error -

"Could not find a version that satisfies the requirement" "No matching distribution found for ..."

A simple "pip install pandas" also doesn't work - when I do this, in my Kudu Bash client the command gets stuck on "Cleaning up.." and nothing gets installed.