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I am trying to inject code for a platform I use with my clients on Cloudflare. I would like to be able to add the following CSS only IF the class: badge-icon.icon-template is NOT present. I would like to use javascript for this (I think this is the best solution). Can someone help?

I am a beginner in Data Science, so please sorry if my mistake is dumb.

Here, I have a loop which views my data frame and makes changes using .loc The problem is that the changes are not saved at the end. I checked every step, everything is processing right. I even checked the modified cell right after working on it (look below) and its gives the value I put into it. However, when the program finishes the my excel data frame is not changed at all.

Help please. Thank you in advance!

Sorry if this is a noob question!

I have two tables - a movie and a comment table.

I am trying to return output of the movie name and each comment for that movie as long as that movie has more than 1 comment associated to it.

Here are my tables

Sorry I don't show my variables or anything, tried to give information only pertaining to the questions. This 1 Sub is huge.

Currently my code allows a user to select multiple files, the files selected will be sorted in a specific format, then loaded into 2 different arrays. Currently loads Columns D:E into 1 array and Columns I:K into another array (from selected files QSResultFileWS, and returns those arrays to my destination FormattingWS. I'm still trying to learn arrays so if the methodology I used to do this isn't proper, be gentle.

I have a text file called listofhotelguests.txt where hotelguests are stored line by line with their first names separated by && as a delimiter. Can someone explain how I can have my Python program read it so it associates john with doe, ronald with macdonald, and george with washington?

My expected outcome I'm hoping for is if I prompt the user for their lastname to make sure their a valid guest on the list, the program will check it against what it has in the file for whatever the firstname they entered earlier was.

So if someone enters george as their first name, the program retrieves the line where it has george&&washington, prompts the user to enter their lastname and if it doesn't match what it has, either say it matches or doesn't. I can figure the rest out later myself.

Assuming there is nobody with the same names.

I know I have to split the lines with &&, and somehow store what's before && as something like name1 and whats after && as name2? Or could I do something where if the firstname and lastname are on the same line it returns name1 and password1?

Not sure on what to do. Python is one of my newer languages, and I'm the only CS student in my family and friend groups, so I couldn't ask anybody else for help. Got nowhere by myself.

Even just pointing me in the direction of what I need to study would help immensely.

Thanks

Here's what the text file looks like:

First time actually using anything to do with swing - sorry for the poor code and crude visuals!
Using swing for a massively over-complicated password checker school project, and when I came to loading in a JMenuBar, it doesn't render properly the first time. Once I run through one of the options first, it reloads correctly, but the first time it comes out like this: First render attempt
But after I run one of the methods, either by clicking one of the buttons that I added to check if it was just the JFrame that was broken or using one of the broken menu options, it reloads correctly, but has a little grey bar above where the JMenuBar actually renders: Post-method render

The code for the visuals is as follows:

I have two google sheets in the same workbook and I am trying to import certain columns from one into the other sheet based on what hour of class was chosen. For example, I have the Date in column A, Name in B, Email in C, and Number in D and other stuff, then the Class in I.

Column A - Date Column B - Name Column C - Email Column D - Number ... Column I - Class

My goal is to import column B through D if column I has a certain class. I tried a using this if statemnt: =if('Confirmação'!I2 = A1,(=importrange("sheet_url","Confirmação!B2:D2")), "NOPE") where A1 has the name of the class to look for, but it resulted in a #Error.

Then I tried a variety of query such as the following: =QUERY({'Confirmação'!B2:D2,'Confirmação'!I2},"Where I = 'Terça 19h English 1'") =QUERY({'Confirmação'!B2:D2, 'Confirmação'!I2},"Where 'Confirmação'!I = 'Terça 19h English 1'")

and also added the IfError: =iferror(QUERY('Confirmação'!B4:I4,"Where I = 'Terça 19h English 1'"),"Vaga")

Could someone correct my functions or help with a google script? Thank you! Very much appreciated! (Sorry about the Portugues-it's a project I am working on in Brazil)

Im having a problem on how to stop the countdown that i made in javascript. Can you please help me. here is my code:

I have a dataset with the name of Danish ministers and their position from 1990 to 2020 (data comes from dataset called WhoGovern; https://politicscentre.nuffield.ox.ac.uk/whogov-dataset/). The dataset consists of the ministers name, the ministers position, the prestige of that position, and the year in which the minister had that given position.

My problem is that some ministers are counted twice in the same year (i.e., the rows aren't unique in terms of name and year). See the example in the picture below, where "Bertel Haarder" was both Minister of Health and Minister of Interior Affairs in 2010 and 2021.

I want to create a dataset, where all the rows are unique combinations of name and year. However, I do not want to remove any information from the dataset. Instead, I want to use the information in the prestige column to combine the duplicated rows into one. The observations with the highest prestige should be the main observations, where the other information should be added in a new column, e.g., position2 and prestige2. In the example with Bertel Haarder the data should look like this:

(PS: Sorry for bad presenting of the tables, but didn't know how to create a nice looking table...)

Here's the dataset for creating a reproducible example with observations from 2010-2020: