iqa | iQA - java -cp lib/antlr-3 | Code Editor library

I have a dataframe df which looks as

The script below takes one string input as a polyline and returns a data frame with the corresponding latitude/longitude pairs.

I would like to input to be a data set as follows:

and the output to be (keeping the ActivityID)

I was thinking along the lines of iterating over the input dataset to do this but I've read here that's not a great idea performance wise.

Please can someone advice how to do this in Python?

I’m new to pytorch and my problem may be a little naive I’m training a pretrained VGG16 network on my dataset which it’s size is near 33000 images in 8 classes with labels [1,2,…,8] and my classes are imbalanced. my problem is that during training, validation and training accuracy is low and doesn’t increase, is there any problem in my code? if not, what do you suggest to improve training? '''

I was trying to do XML Serialization. Which have multiple different classes which is Header & Item. I create class TransferOrder to combine Header & Item. Header is doing well, but Item is showing twice.

Below here are my Program.cs

i have below script while gets some command output from a host and keeps that into a file /tmp/${stcl}_aggr.txt, further this file is placed to a variable body=$(cat /tmp/${stcl}_aggr.txt)

While calling this Variable body into a Jason arrays as "description": "$body" its value is not getting expanded and resulting in error as KeyError: 'result', and the varible like incident_number, curloutput also not working while if i remove that body for "description": then script will run but the i need "description": value to be uploaded.