trends | ultra high performance github trending application | Frontend Framework library

I've been trying for a while now, but can't find a solution by myself.

Basically, in my slick slider, I have 6 images which I would like to animate on slick in and before next slick (after clicking arrows/dotts). there are 2 problems; one as you can see in the screenshot of the page one image moves down if i show 5 images, if i show 6 images then first image smaller than others.

I'm trying to forecast some data about my city in terms of population. I have a table showing the population of my city from 1950 till 2021. Using pandas and ExpotentialSmoothing, I'm trying to forecast and see the next 10 years how much my city will have population. I'm stuck here:

I wish to count events that occurred within a custom time interval : it could be within 24h, or within a week or 2-months span.

I am using google sheets: I can create a pivot table and group by month, however I'd like to explore insights using custom intervals (I'm looking for pattern in epilepsy).

As final result, I wanna have a table that, for each day, it is reported the number of frequencies within that interval.

Particularly, I wanna focus on the interval of 24h to count the number of events of epilepsy (known as cluster seizures).

And then, on custom days intervals to explore periodicity or trends - like each 48 hours, or each 15 or 30 days.

See a mockup of Google Sheet here:

https://docs.google.com/spreadsheets/d/1tCxYV5mUcq6vKm8-fL-0HUAOjcB9fipLCqPD2Znv-X0/edit#gid=1372548551

I tried this attempts:

1. find out how many events occurred in the last 30 days prior to the reported date:

I'm using Python requests and am trying to access the values that I am getting from a GET request that I have made. The output is a JSON response (I think it's called a 2D array as there are arrays within the array). I want to store these values so that I can access them in the next function.

Here is the Python:

I have a 2D list trends. I open a folder and go through every file in the folder (mostly CSV Files). For every file, I want to put the data into a new slot on the first dimension of the list. For every line in the file, I want to put the data into a new slot on the second dimension of the list. What am I doing wrong here?

Relatively new to Dash, and this is a problem that has been vexing me for months now. I am making a multi-page app that shows some basic data trends using cards, and graphs embedded within cardbody. 30% of the time, the app works well without any errors and the other 70% it throws either one of the following:

1. ImportError: cannot import name 'ValidatorCache' from partially initialized module 'plotly.validator_cache' (most likely due to a circular import) OR
2. ImportError: cannot import name 'Layout' from partially initialized module 'plotly.graph_objects' (most likely due to a circular import)

Both these appear quite randomly and I usually refresh the app to make them go away. But obviously I am doing something wrong. I have a set of dropdowns that trigger callbacks on graphs. I have been wracking my head about this. Any help/leads would be appreciated. The only pattern I see in the errors is they seem to emerge when the plotly express graphs are being called in the callbacks.

What am I doing wrong? I have searched all over online for help but nothing yet.

Sharing with some relevant snippets of code (this may be too long and many parts not important to the question, but to give you a general idea of what I have been working towards)

Background:

I have a df tracking someone's weight over time (not mine I swear):

I have a MongoDB collection with documents like:

I have a graphic which shows the trends from different years along the days of the years:

The problem is that the x axis is represented by the vector days<-seq(1:366) but I need on the x axis the months for comparation. The data frame is too big but the structure is: