Rind | Abandoned -

My goals is to JOIN a table multiple times on the same id.

Here is a snipet of my database structure:

If I have a String with food ingredients such as (german list of ingredients in a product)

Good morning!

I am obviously pretty new to the whole programming thing, so I am working on a basic PoS application for a restaurant. I am trying to figure out how I can assign different values to the different buttons while using the same button click function. I know I could write out a new function for each button with the correct object properties pushed, but there has to be a better way. I currently just have it set for the top right port nachos button to push the information into the tab section (though right now I am drawing a blank as to why it is the only one to do this instead of all the foodbuttons pushing the pork nachos info). Any help would be greatly appreciated. Thanks again!

I got a dataframe that looks like this. I want to plot for EACH "localidad" the year-mean "rinde" value for the three different "agua_inicial" options. Let´s suppose I have 14 different "LOCALIDAD", then at the end I would like to get 14 different plots (X=year, Y= "rinde") and each plots needs to show me three different curves (for the three different agua_inicial options: high, low, mid).

Im trying to find the way to build this code but it is really difficult

I'm trying to use Google Sheets as a scraper to get product descriptions prices and images from a specific store. https://www.aliexpress.com/store/group/xiaomi-Aqara-Smart-home/2389096_516541380.html

I'm trying to retrieve the image URLs from this page but in the end, I'm not able to make it work.

I have the given lists:

I have to solve a task for university. I have 4 given lists and I have to count the possible variations of burgers that can be made under some restrictions.

I have a 3D numpy array boolean mask which has been segmented from a MRI brain volume.
Brain voxels = True. Everything else = False.

What I would like to do is to enlarge this mask such that it would encompass the surrounding tissues in the MRI volume, not just the segmented organ, perhaps a 10mm rind of non-brain all around the brain.

I tried using a 2D dilation using the skimage.morphology.dilation with a diamond filter. While this is nice and fast for a single image, I need to repeat this in multiple slices through the volume and in at least 2 planes to come even close to uniformly dilating the 3D mask.

I largely took my code from here: https://scipy-lectures.org/packages/scikit-image/index.html

typical volume shape = 512, 512, 270

I am trying to solve a linear programming problem. Following are specs of the problem:

I have a network flow problem that's been converted to a linear programming problem. So, all the flow constraints, such as capacity, flow conservation etc., will have to be enforced. My objective is to minimize cost.

Decision Variables - I have built two 8x8 matrices by defining a dictionary and adding decision variable at each of those 128 locations.

Constraints - there are in total 24 constraints, namely: 1) The flow starts at the source. 2 constraints for both 8x8 matrices. 2) The flow ends at the sink. 2 constraints for both 8x8 matrices. 3) There are 12 constraints for flow conservation, 8 each for both matrices. 4) There are 2 constraints to respect the capacity constraint, 1 for each matrix. 5) There are 6 constraints to avoid duplication

All the variables are required to be binary.

Objective - There are certain variables from those 8x8 matrices whose sum is required to be minimized.

Again, all the variables have to be binary.

I have been able to code the solution in Google ORTOOLS and solution converges and shows minimum value. But, when I look at the variables, there are variables that have non-binary values. Also, the solution is wrong (I have an existing solution running in excel which is correct and is different).

I'd appreciate if someone could point me in the right direction. Following is the code which is written in Python 36.