osprey | Generate Node.JS API middleware from a RAML definition | REST library

If my data looks something like this:

R beginner here. I currently have a database with over 33 variables for over 10000 species of animals and have just got myself into a bit of a trouble.

Summing up, my data looks something like this:

I'm not sure if a dict is the best way to do this. If don't, I'd be glad if you guys could tell me the best way to do this.

I want to store usernames, and inside of this, I want to store a list of objects. For example.

I've added my tracking id to my config.toml and everything looks like its matching up. Yet I haven’t seen any realtime data come in when I launch https://analytics.google.com/

I wrote a simple CNN using tensorflow (v2.4) + keras in python (v3.8.3). I am trying to optimize the network, and I want more info on what it is failing to predict. I am trying to add a confusion matrix, and I need to feed tensorflow.math.confusion_matrix() the test labels.

My problem is that I cannot figure out how to access the labels from the dataset object created by tf.keras.preprocessing.image_dataset_from_directory()

My images are organized in directories having the label as the name. The documentation says the function returns a tf.data.Dataset object.

...

I am working on a project that automates your virtual school schedule by automatically joining your meetings on time and alerting you about them. What I am trying to have right now is a working tkinter setup window in which you can add links to a dictionary variable. All I want is for a window that asks the user to enter a link and a number and for the user to be able to click a "Finish" button that will destroy the window. I got the code down, hopefully, but I keep getting "in _create return self.tk.getint(self.tk.call( _tkinter.TclError: invalid command name ".!canvas"". I've done a good amount of research and I can't find a solution. Note: I've already tried win.update() and moving the win.mainloop() to the bottom.

I am looking for ways to visualize categorical data.

Imagine that I am an avid birder and I have a list of birds that I want to view and get a photo of in two different states, Oregon and Idaho.

I'm looking for a way to visually represent the progress.

My first thought was that I would want something like a table that had species as the first column, states as the next two columns, then a split square with colors that represented the progress. Something like a diagonally split heatmap, but I'm coming up short. Here's a mock-up of an example.

Other suggestions would be most welcome.

And here is a sample data set to work with: