farm | Grow delightful software

I have a set of legacy data that has aimed to match companies together (based on a number of different factors). However, I would like to do a bit of QA on the matches just based on the names that came from the different profiles (and may have small differences).

Assuming a dataset as follows:

Is their an algorithmic or pythonic way to know for example that 1 and 2 are probably well matched and 3 badly matched? This, without any ML etc.

I would imagine I need to create a score somehow and knock out on this. However, would love some input if their is best practice.

Some ideas I have had is to look through patterns, compare letters in sets etc. However, at a lost to execute them.

Goal: to run this Auto Labelling Notebook on AWS SageMaker Jupyter Labs.

Kernels tried: conda_pytorch_p36, conda_python3, conda_amazonei_mxnet_p27.

This question is part of a previous one that I had (How to get the average temperature for N days prior to a specific date in R?), however things have complicated a bit (at least for me).

I have two datasets: one dataset (A) has the temperatures for each day, and on the other dataset (B) I have the individuals id and the date of birth (dob). I need to get the average temperature for the last 3 days prior to the dob of each individual. For example: if individual 1 was born in 02/20/2021, I need the average temperature from 02/17/2021 to 02/19/2021. However, I also have data coming from different weather station id (in df A), that needs to correspond with the right farm (in df B). Is there a way I could do that in R, so my output would be ind | dob | avg_temp, accounting for the right weather station. Here is one example data (in my real case, my data has a very large number of days, individuals, farms and station):

I have a few files that are named after rural properties like the following:

This is my first stack overflow question, so if I am presenting something wrong, please let me know. I am pretty new to computer programming, so I just have a small webpage where I am just implementing things that I am learning.

I made a little quiz with random trivia multiple choice questions you can take if you press a button. I am using window prompts to ask the questions and get the answers, and I have all of the questions and answers stored as objects with question/prompt and answer pairs. All of those objects are stored in an array in a variable called shortQuizPrompts. I already have the quiz working and everything, aka., It tells you after every question if you got the answer to that question right or wrong, and it gives you a grade afterwards... I also have it set up so that if you enter an answer that is not "a", "b", "c", or "d", it lets you know that it isnt a valid answer. Those sorts of things.

As of right now, you can choose how many questions long you want the quiz to be out of the 24 total questions I have so far. It just asks the questions in the order that they are stored in the array. For example, you will never be asked the last question in the array if you do not choose for the quiz to be the full 24 questions long. However, I want to make the quiz ask the questions in a random order, while also removing those questions from the array as to not ask the same question multiple times.

I have tried increasing the iterator while looping through the array to a random number from 0 to the length of however many questions they chose. Then checking to see if the iterator was larger than the length of the number of questions they chose, it would decrease the iterator until it found a question that is still in the array that it could ask...

If anyone knows how to go about doing that, it would be great. Sorry for the long question btw. I am pretty new to coding, so this is probably a simple answer, but I digress. I'm pretty sure I did everything right. Thx.

I have a list of strings, let's say:

I am trying to edit a discord bot made in python (I stored data initially in python) and transferring it to javascript (node.js) and can't feature out while connecting to my old db why findOne giving me null while providing proper discord id.

Without anything inside
Code

I have a 1GB JSON file I like to convert to CSV format. The file contains information about UK company people with significant control (PSC). file source: http://download.companieshouse.gov.uk/en_pscdata.html

here is a data snippet of PSC Data product:

Using pandas Library, I made dictionaries that are nested in a list from file “german_words.csv”. (for Info: “german_words.csv” is file with German words and corresponding English translated words)

german_words.csv (It's just sample, current file contains thousands of words):