xbt | High-Performance BitTorrent Tracker | Stream Processing library

I get data from an API in this form:

Im having problems properly adding JSON to a Pandas dataframe Im receiving from a websocket stream. In my code Ive tried a few different ways to append the data to dataframe but it ends up all messed up. Looking at the data I see 321 before each of the lines that I want the data from. I dont know how to access that data I thought something like mv = check['321'] would access it but it did not. The result variable is what the stream is assigned to so Im just trying to figure out how to get that in the dataframe. code:

The code I have below takes a JSON response and extracts some data that we need from it. The response is odd, sometimes its a dict sometimes its a list. My code accounts for that. I really only need the list response. The problem is sometimes the list response is a list of lists. In the csv image below row 4 is an example of this. My code goes into the third column(C) and takes the first list of data and adds its to a dataframe. Their are six values and they get their own column and then it moves to the next row. Row 2 is a example of this. it has in column c one list. The problem is when i come to a row like row 4. Row 4 has multiple lists in column C. The image shows at least two but it can be any number. I need to take any dataset found in Column C and give it its own row in the new dataframe. so the data from column c in row 2 would get one row of 6 columns in the dataframe, the data from row 4 would get at least 3 rows since it shows at least 3 datsets. Row 5 and six would also return 3 rows each to the dataframe and then 7 would only return 1.

I am trying to use websockets to connect to Kraken websocket API. I create a new instance and setup listeners on intitial render. I am trying to make buttons to subscribe and close but the buttons are not working.

I am using this websocket library.

I have an object that looks like this

I would like to return an array of wsnames based on altnames. For example, I provide an array ["AAVEETH", "AAVEXBT"] and get back ["AAVE/ETH", "AAVE/XBT"].

I figured out how to use lodash __.filter like this

I tried to do a neural network that operates on MNIST data set. I was mostly following the pytorch.nn tutorial. As a result, i got a model that learns, but there's something wrong with the process or with the model itself. Instead of one active neuron at the output, i recieve multiple ones.

Here's the model itself:

I have a simple object to deserialize, but I do not understand the error I get.

The code is the following:

I couldn't find the equivalent C++ calls in Libtorch (Pytorch C++ Frontend) for my Python Pytorch code.

The documentation according to my searchs (Pytorch Discuss) does not exist yet for my code. I wonder if someone can guide me with the following pieces (bellow).

I cutted pieces where I've been having more crashes (wrong usage) of Libtorch C++.