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I have a database where I store date validity while creating a new project.

I'm using the html date and set the value to the current time.

I'm trying to configure a single ALB across multiple namespaces in aws EKS, each namespace has its own ingress resource.

I'm trying to configure the ingress controller aws-loadbalancer-controller on a k8s v1.20.

The problem i'm facing is that each time I try to deploy a new service it always spin-up a new classic loadbalancer in addition to the shared ALB specified in the ingress config.

https://kubernetes-sigs.github.io/aws-load-balancer-controller/v2.2/

I need to link the job to the subjob: the job is of this format for example ACGN100Q while the subjobs that are attached are sequential and of this format: ACGN-100Q-000T;ACGN-100Q-010T;ACGN-100Q-020T;ACGN-100Q-030T

In my csv file the type of this job ACGN100Q is "TechnologyInteraction" while the subjobs are of type "TechnologyService". I am developing a script that allows me to say for example that the link between ACGN-100Q-000T and ACGN-100Q-010T is of type "TrigerringRelation" and the link between ACGN100Q and ACGN-100Q-000T is of type "RealizationRelation". I need help because I can't make the link.

Here is my starting csv file : newElements.csv

Using keras, I'm trying to make a model that will predict will the user like a movie or not based on his imdb data. My dataset is list of movie ratings and it has about 900 samples. The model classifies samples in one of three categories based on rating (1-4 bad, 5-7 good, 8 - 10 great). The model is capped at about 0.6 accuracy and however I tinker with the settings, it doesn't ever go beyond that, but the accuracy graph is also what concerns me because it displays very rapid growths and falls. My question is basically if anyone has any advice what I could do to improve my model, make it more accurate and more consistent.

My code:

I have an error when trying to install the libmysqlclient-dev package together with npm for some reason when installing libmysqlclient-dev it removes npm

Edit: others have responded showing xslt as a better solution for the simple problem I have posted here. I have deleted my answer for now.

I've been through about a dozen StackOverflow posts trying to understand how to import an XML document that has namespaces, modify it, and then write it without changing the namespaces. I discovered a few things that weren't clear or had conflicting information. Having finally got it to work I want to record what I learned hoping it helps someone else equally confused. I will put the question here and the answer in a response.

The question: given the sample XML data in the Python docs how do I navigate the tree without having to explicitly include the name-space URIs in the xpaths for findall and write it back out with the namespace prefixes preserved. The example code in the doc does not give the full solution.

Here is the XML data:

I am trying to merge an inner join so that I can use 3 different tables, where TBL1 is the destination table where the records will be inserted, TBL2 where all the records to insert in table 1 TBL1 live and the third and last table TBL3 where a condition will be made by rfc, where if tbl3.rfc = tbl2.rfc load the data to TBL1. My query that I am doing is the following:

Given the following xml example, how can I print both the Actor name and their location?

I would like for the output to be:

John Cleese Ohio Eric Idle Colorado

I need to duplicate a row based on a column (a number).

I have this dataframe: