Hapiness | Production ready boilerplate application | Runtime Evironment library

I am trying to make a plot figure of happiness degree in 30 different countries from the year 2012 to 2018, some years are missing happiness degree value. the arrays are Happiness, Year and Country.

I want the y axis to be the happiness degree, the x axis to be the Years and the Y to be the country(each country is marked by a number from 1-30), so that there will be a color connecting all the different degrees through the years from each country.

The shape of each array is (210,). Here is my code:

I have a dataframe (will call it 'df') with a decent amount of variables (numeric and characters, there are some NAs in there too). Some of the columns hold the grade of a specific school subject, some other columns are not related at all. Each row represents a dude.

I want to create a new one (will call it 'preferedSubject') with values based on a threshold (let's say 0.5) imposed in another column ('Happiness'); where, if the value of this variable is lower than the threshold, the value of 'preferedSubject' for that row will be a string (let's say... '2Cool4School') and, if higher, the value will become the name of the school subject with the highest score from that row. That is, the name of the column with the highest numeric value (while excluding some of the other columns, remember that some of them are not school subjects)

This of course isn't my data; just decided to use it as a basic and (hopefully clear) example of what's going on, for some reason I always find a way to put it in terms of school subjects and students.

The first part of my problem should be easily handled with the ifelse function I believe; that way I can assign a value to 'preferedSubject' depending on whether 'Happyness' is lower than 0.5 or not. The part that's causing me trouble is the second one, I cannot find a way to retrieve the name of the column (school subject) with the highest score while excluding some other columns (non school subject) first.

Assuming this is my dataframe:

I'm looking for a solution to make my vuex data reactive.

Let me explain the context. I render a list from vuex data with

I'm doing a simple python project for school which involves the user trying to find the longest real word they can from a random pool of 9 letters in 30 seconds. It's easy enough to test if the user's answer is a real word, by looping through a file of many words in the English language (it has 114,000 words which probably doesn't include ALL of them). In fact, that took a split-second to run.

However, in order to check if there is a full 'solution' (9-letter real word) for the random pool of letters, I couldn't think of anything apart from testing for every single permutation of the 9-letter word pool against every word in the file. The problem is, that's really inefficient and took about 7 minutes. After all, considering that there are 9! (factorial) permutations of the anagram, and that the 'random' module does NOT rule out previous permutations, AND that there are many words in the file, the computer has to work through over 50 billion comparisons. At the end of it, the word (using an anagram of 'happiness') was not found. This is the code I tried: