sketchy | Simple approximate-nearest-neighbours in Python | Hashing library

I'm still pretty new to PEG.js, and I'm guessing this is just a beginner misunderstanding.

In trying to parse something like this:

As I see less than 500 questions related on deeplearning4J here and most years old, first a different question: is DL4J dead? Do I really have to deal with horrible, horrible Python just to build my AI? I don't want to!

Now real question, I feel a bit stupid but really documentation and googling is a bit lacking (see question above): I have been reading up the past days on building a simple document classifier with DL4J which seems straight forward enough, although the follow-up material again is frighteningly sparse.

I build a ParagraphVector, add some labels, pass in the training data and train. I also figured out, the data is passed in as a LabelAwareIterator. Using a file structure I even found this documentation by DL4J how to structure the data. But what if I want to read the data from say an API or similar and not through file structuring? I am guessing I need a LabelAwareDocumentIterator, but how is data supposed to be structured and how to feed it in? I read about structuring as a table of text and label as columns but that seems rather sketchy and very imprecise.

Help would be much appreciated, as are better resources than what I have found so far. Thanks!

--UPDATE

Through reading of the source code (usually a good idea to just check the implementation) it looks like what I really want is the SimpleLabelAwareIterator. That code is nicely readable. Dont really understand what the LabelAwareDocumentIterator is for yet. Anyway the Simple one just needs a List of LabelledDocuments. The LabelledDocuments just have a string content and a list of labels. So far so good will try implementation this evening. If it works out, I will post this as an answer.

I have a large table with a comments column (contains large strings of text) and a date column on which the comment was posted. I created a separate vector of keywords (we'll call this key) and I want to count how many matches there are for each day. This gets me close, however it counts matches across the entire dataset, where I need it broken down by each day. The code:

I am running a python script on a raspberry-pi.

Essentially, I would like a camera to take a picture every 5 seconds, but only if I have set a boolean to true, which gets toggled on a physical button.

initially I set it to true, and then in my while(true) loop, I want to check to see if the variable is set to true, and if so, start taking pictures every 5 seconds. The issue is if I use something like time time.sleep(5), it essentially freezes everything, including the check. Combine that with the fact that I am using debouncing for the button, it then becomes impossible for me to actually toggle the script since I would have to press it exactly after the 5s wait time, right for the value check... I've been searching around and I think the likely solution would have to include threading, but I can't wrap my head around it. One kind of workaround I thought of would be to look at the system time and if the seconds is a multiple of 5, then take picture (all within the main loop). This seems a bit sketchy.

Script below:

I am new to Apache Kafka, so it might be that this is basic knowledge.
At the moment I try to figure out some possibilities and functions that Kafka offers me. And so I was wondering whether it is possible to move a message after a specified period of time to another topic.

Scenario:
Producer 1 writes Message (M1) into Topic 1 where Consumer 1 handles the messages.
After a period of time, let's say 1 hour, M1 is moved into Topic 2 to which the Consumer 2 is subscribed.

It is possible to do something like that with Kafka? I know that there is a way to delete a message after a period of time, but I don't know if there is a way to change to topic or catch the delete-action.

I thought about running a timer in a Producer, but with a huge amount of data, I think that this isn't possible anymore.

Thanks in advance

EDIT:
Thanks to @OneCricketeer i know, that my first assumption with the several producers wasn't that bad. I know that the throughput with one Producer is really good and that one won't take the system down. But I'm still concerend about the second producer.
In my imagination it is like the following sketchy image

When I take 30 messages per minute that would mean that I would habe 31 instances of producers. 1 that handles the messages asap and 30 others waiting for the timer to determinate so that they can work with their message.
Counting that up to an hour it would be round about 1800 instances. That is where I#m concerned about. Or is there a better way to handel this?

I am receiving a datetime in the following format:

Evening, sorry for beginner question but I have to do a code that receives 7 salutations in different languages, compare to a database, and, if they match, tell which language the salutation was on, if they don't, tell the user the language is unknown.

I think i understood the problem, but my code below doesn't show any results and just closes, can someone tell me why? I know it is very sketchy coding but cant find exactly the mistake. (Telling me a substitute for the multiple variables inside scanf would be much appreciated too).

Attempt

After reading a large json file and capturing only the 'text' column, I would like to add a column to dataframe and set all rows to a specific value:

Thanks in advance for any help. I am new to django specifically as well as web development in general. I have been trying to teach myself and develop a website using the Django framework and while everything is working so far, I am not sure if I am really doing things in the best possible way.

Typically, within my django app, I will have certain points where I want to modify the contents of my database model in some way. A typical use case is where I have button on my site that says "Add a post":

models.py: