swifter | Tiny http server engine written in Swift programming | HTTP library

I wrote a Dash program using python and it works on Jupyter notebook. But It doesn't work on server. I send my geometric data on server by: scp data.json username@10.0.0.0:/directory

Why in server I cant run this python code:

I have around 70 categories (it can be 20 or 30 also) and I want to be able to parallelize the process using ray but I get an error:

I am trying to translate all the columns called tweet_text in my dataset. I have about 100,000 rows of data and about 50% of that needs to be translated to English.

The following code works but I am basically running the function to translate the tweets for every single row which takes nearly 2 hours.

Note: x != " " checks if the tweets aren't empty strings as some of the tweets have just " " as I removed some of the emojis from them and that was all that was left.

Link to deep-translator

I am translating large amounts of text using googletrans. But I keep getting this error Unexpected status code "429" from ('translate.google.com',) as I am making a lot of requests. So what I am trying to do is call time.sleep(1) after every translation is done to try and see if this will solve it.

Now I know I could do this with a for-loop where I would just loop over the text in the column tweet_text, translate the word and then sleep for a second.

But I am trying to figure out how I would incorporate the time.sleep(1) within the lambda function that translates the words in the code below.

I'm trying to calculate (x-x.mean()) / (x.std +0.01) on several columns of a dataframe based on groups. My original dataframe is very large. Although I've splitted the original file into several chunks and I'm using multiprocessing to run the script on each chunk of the file, but still every chunk of the dataframe is very large and this process never finishes.

I used the following code:

I have some pandas code I'm trying to run over a big data-set, and despite using apply it looks like it's essentially iterating and running slowly... advice would be welcome!

I'm trying to group up my data. Each row has a non-unique event ID, and each event ID can contain multiple events. If any one of those events is a specific type, I want every row with that ID to have a specific flag - eg, this type of event happened in this ID. Then I want a to export my data-frame with just the IDs, with that flag showing if the event occured in that ID.

This is the code I'm using:

The shell command pip install cartopy led to several errors.

At first, the following error occurred:

I am pretty new to SwiftUI and with DispatchGroups and DispatchQueues. I would like to create a Button which processes some server requests and then use the returned data with a CoreML model to predict some score. Once, the score is predicted, then the app can navigate to the next screen

Here is the sequence of actions which need to be done before moving to the next screen

I have a dataframe that has 15,000 host IP addresses (IP v4 and IP v6) I am trying to check which of these hosts are up(running) by pinging the hosts.

I have the following code that I have written