beard | A lightweight logicless templating engine

I have the following SQL query:

I'm running a script to get pages related to a word using python (pip3 install wikipedia). I enter a word to search, let's say the word is "cat". I send that to the code below, but the wikipedia code changes it to "hat" and returns pages related to "hat". It does this with any word I search for (ie: "bear" becomes "beard". "dog" becomes "do", etc...)

Hi I have this array of objects

I found this very nice floating navbar with a rotating cube effect: https://codepen.io/arjancodes/pen/wtqIr

Unfortunately, it does not include working links, and it is not clear to me how to insert them. I've tried placing the tag a bunch of different ways and monkeying with the CSS based on what I have read about ::after. I also tried changing nth-of-child to nth-of-type, which doesn't seem to have help or hurt.

The fork I am playing with is demoed here, but as it will change I will post the code in its current state below: https://codepen.io/AwakeAntelope/pen/wvJovrP

I have been able to get the links working in the appropriate places, but for some reason when I do that, each

I am trying to making a python autogenerated Email app but there is a problem when running the code the traceback error shows up but I did write the code as my mentor write it down. This is the code that I used:

So I am creating a table for a discord bot and I have the code set up to bold and quote for headlines. It seems the code works for IPhones and computers, my android though doesn't like to do both at once. I did some testing on discord and know that I can combine bold with italicize. How would I combine quote with bold though?

I made a struct Question

As you can see i have multiple objects now after converting this to array and having all of these inside array what i want to do is get a new array that should have captain name and all the scores with round number in a object and all of these objects should be saved like that in array. A representation of what i want to be achieved would be something like this [{captain:'John Doe',RoundNumber:Score},{captain:'John Doe',RoundNumber:Score},{captain:'JohnDoe',RoundNumber:Score}]

this is the result im trying to achieve some help or guidance would be much appreciated below is the data

I'm trying to come up with a way to use Keras-Tuner to auto-identify the best parameters for my CNN. I am using Celeb_a dataset

I tried a similar project where I used fashion_mnist and this worked perfectly but my experience with python isn't enough to do what I want to achieve. When I tried with fashion_mnist I managed to create this table of results

My code is here.

I am hoping to produce a similar table using the Celeb_a dataset. This is for a report I'm doing for college. In the report, my college used AWS Rekognition to produce the table below.

I am hoping to be able to train the data so I can save this model to a pickle and generate a similar table of results to compare them.

Any recommendations on how to approach this? My queries at the moment are:

1. How to load the dataset correctly?
2. how can i train the model to give me accuracy on "Moustache", "Beard", "Emotion" (like on the table of results above)

I tried loading the data using: