cardboard | The Bukkit/Spigot/Paper API implementation for Fabric | Plugin library

How to selectively show portions of an iframe website using HTML? The current website shows the entire iframe website and needs scrolling when I choose the options on the table as shown.

But I want to show a particular portion of an iframe website without showing the other articles in the iframe website when I press on the option on the main website as shown below.

How do we pull this off? Thanks!

The code I used for the iframe website is:

Imagine that you want to print out the plot and then cut it out with scissors. How do you make sure that the plot you draw has the correct dimensions?

An example:

You want to plot the ellipse formed when a plane cuts a cylinder of radius r, in millimeters, at an angle θ.

You want the plot printed on paper such that if you cut it out, you can wrap it around a physical cylinder of radius r and use it as a mitering pattern: if you cut the cylinder along the pattern's edges you get a perfectly straight cut at the angle θ.

To make sure that you got this right, you practice on two different cardboard cylinders: one from a roll of toilet paper, with radius equal to 22mm; the other, from a roll of paper towels, with radius equal to 19 mm. Here's the code:

I need to categorise my qualitative variables into groups: For example: on one of my qualitative columns ("packaging"), I have to group all my plastic data like "Plastic", "film-plastic", fr-film_plastic in a category "plastics".

I have to make several categories, like Plastic, cardboard, metal.

I used str.extract, to solve this problem, but I have a problem with multidimensional key.

I'm doing a small exercise of buying items, I have the idea of ​​how to make it works, however, I cannot find the key to give me the result of the total price of the purchased product. I'm work it in PHP. Basically what I want to do is, if you buy 5 pens, then multiply those 0.50 what cost the pens x 5 and show me the total to pay. (Forget the $ book variable at the end, because even if I multiply the total number of books purchased, I can't figure out how to do it as for the rest of the products).

I have two mat-autocomplete drop downs in a reactive Angular form (Angular and Angular Material v12).

One works. It is pulling an array of objects from a service and does not include an Observable for the options. It is developed similarly to the example. The other one is subscribing to an observable for the drop down options, and they show up, but cannot filter. I see no errors.

My hypothesis is that the either the filter is firing before the data is there, or there is some other issue with how the filter is applied. The data shows up just fine - I just can't type and filter.

I set up the observable code slightly differently to allow the subscription on the API to fire before the subscription on the filter and to compare the unique ID. It doesn't seem to have worked. I cannot determine which part of the code is failing. I have tried repeating the working code with the observable, but it can't filter the type in the same way (takes two arguments), and I'm stuck there.

Perhaps there is a way to simplify my subscription? I understand what is going on, but my observable experience is light. Relevant code below:

Working template:

I have some c++ code that is used by an iOS project. Therefore, I need to have protobuf support for C++ code in iOS.

I have tried this link: https://developers.google.com/cardboard/develop/ios/protobuf , and also this gist: https://gist.github.com/eyeplum/ff0b76f70ca5b8d192cac0b52496433d . However, they both give the following errors:

I am learning python and working on a sample Kaggle dataset and trying to split comma-separated values in a column into different columns using python or pandas in jupyter notebook.

For instance :

column_A

Garbage: Tissues, Organics: Milk, Recycle: Cardboards

Garbage: Paper Towels, Organics: Eggs, Recycle: Glass, Junk: Feces

Garbage: cups, Recycle: Plastic bottles

I want to split these into different columns based on commas, like below:

I've tried using Lambda functions but it only worked if there is same length of comma separated strings but not for unequal length and displaying an index error "list index out of range". The code I've used is below:

I'm trying to change plural words to singular in a string with a mix of upper case and lowercase words. e.g. CARDBOARD BOXES, DIMENSIONS: 19cm H x 10cm W x 30cm D

I used NLTK package to do so but it only accept lowercase strings and I don't want to lowercase all words in my string. any suggestion?

Update: to explain what type of Datatables I Am comparing- "Compare two Datatables with the same columns, one Datatable is being pulled form an external server and inserted Initially, from then onwards only last 6 months of records are pulled off external database (for various reasons) , and the data is compared with local data (for a 6 month date range) to see if a DataRow has changed,needs to be deleted or added where the Row Identifier (PKey)which is essentially the SalesID + LineRow match and other columns are values to be compared to see if that row needs to be re-added/deleted because incoming columns are different to current columns and also delete rows where the incoming data does not contain those rows

so basically I want a Exclusive Left Join [to insert that data] and Exclusive Right Join [to delete that data] "

I have been doing some database coding as well as JSON pulling and I want to know what is the standard way / correct way of doing things , I started with 2 hour compare times (on dummy DB table) down to 1 hour to 1 secs (after applying my janky method to DB table Compare) and then finally used it on live pull with what seems to be correct and consistent results and so I started doing testing on Dummy data with it going from 1 hour to 26 minutes to finally <1 seconds (using my own janky way), Table sizes tested and assumed are between 100,000 & 200,000 rows so lets go through the standard methods I tried and then go onto the janky solution I Made.

The first and obvious idea was to use two ForEach iterations (even mentally this seemed it would be slow however I thought it wouldn't be that bad considering how quick Add is, and how quickly you can compare JSON Tokens when iterating through Jarrays). Code was something like the following: