session | [Abandoned] Session library | Machine Learning library

WWDC21 introduces Swift 5.5, with async/await. Following the Explore structured concurrency in Swift and Meet async/await in Swift WWDC21 sessions, I'm trying to use the async let function.

Here's my Playground code:

I'm working on a Chrome extension that integrates with a website. My users can do actions on this website when they are logged in to it.

I have a Socket.IO server that delivers commands to my Chrome extension. Once a command arrived, the extension invokes a local function from the host website. Then, the host website, which has an authenticated active session with its own API, will invoke some update/insert call.

I recently realized a potential security issue, which is - if anyone spoofs my server address on my extension clients organization, he can easily abuse it to send his own parameters on behalf of my server (image 2).

Is there any smart way to ensure my client communicates with the real server and not an imposter?

I am using express-session and express-mysql-session in my app to generate sessions and store them in mysql database. Sessions are stored in a table called sessions.

I run a loop and append data into a list. I failed to convert the list to a data frame in the loop and only able to fix that in a later step and turn every 3 columns into a new row. I was wondering if I can transform a list into a data frame during the loop session.

I wish to move a large set of files from an AWS S3 bucket in one AWS account (source), having systematic filenames following this pattern:

Weird case happening here. I am trying to insert some keys in a username and password input field. It was working just fine and suddenly it did stop.

Just to make thing clear for everyone. Once I click on login button, I get redirected to the login page where I have my username and password input fields. and their divs are as follow.

in my selenium code I target the username and password element by their name.

I am in the process of learning SQLAlchemy and I am stuck on the below filter as it returns nothing for some reason.

So I was really ripping my hair out why two different sessions of R with the same data were producing wildly different times to complete the same task. After a lot of restarting R, cleaning out all my variables, and really running a clean R, I found the issue: the new data structure provided by vroom and readr is, for some reason, super sluggish on my script. Of course the easiest thing to solve this is to convert your data into a tibble as soon as you load it in. Or is there some other explanation, like poor coding praxis in my functions that can explain the sluggish behavior? Or, is this a bug with recent updates of these packages? If so and if someone is more experienced with reporting bugs to tidyverse, then here is a repex showing the behavior cause I feel that this is out of my ballpark.

I am looking for a way to somehow store the text entered into the textfield created in FXML file by Scenebuilder for the entire session.

Ex:User Logs in to the application and then enter the Text to textfield to search for the data. I want to make it like when we place the mouse in the Text Field it shows the search executed in this session.

I looked for tutorials ,I couldn't find. Can anyone guide me to the tutorial link if it's there.