strikes | Lightning Strikes - Package manager for Azure Functions

I have tried this

I've been working on some code that reads data from a Read type (the input) in chunks and does some processing on each chunk. The issue is that the final chunk needs to be processed with a different function. As far as I can tell, there's a couple of ways to detect EOF from a Read, but none of them feel particularly ergonomic for this case. I'm looking for a more idiomatic solution.

My current approach is to maintain two buffers, so that the previous read result can be maintained if the next read reads zero bytes, which indicates EOF in this case, since the buffer is of non-zero length:

Using pandas/python, I want to calculate the longest increasing subsequence of tuples for each DTE group, but efficiently with 13M rows. Right now, using apply/iteration, takes about 10 hours.

Here's roughly my problem:

There are questions similar to this, however, I'm finding those particular posts somewhat difficult to follow.

I have a QuerySet of the type:

I have created a custom non sticky sub menu that I want to appear when a certain menu item is clicked on. I'm having it scrolled to location when clicked and I've decided I want to control visibility with the height attribute. What is the correct way of doing this with CSS?

Also this is my first question ever. I appreciate tips on asking better questions.

The structure looks something like this

Apologies for asking a fairly common question, I have been looking all over and can't find a solution that fixes my problem.

I am using Firesharp, and trying to deserialize a Json object that Firebase returns into a class with a nested list.

I know that this is a relatively simple question, I just can't figure it out. I have three tables: people, presentations, and people_presentations. people and presentations both have ID columns, and people_presentations that has foreign keys to each of people and presentations.

For example:

people:

I have some code that I'm trying to have the option to repeat once, with a couple of preparation & cleanup steps before/after the repeat. I have a loop structure that works, but strikes me as quite inelegant:

Using the dataset hosted on Google (MBL Data) as an example, here is what I am accomplishing to do - obtain last 3 weeks score run for a given Venue.

My aggregated dataset looks like this without the strikes_3wk column -

Logic for strikes_3wk column is to partition the aggregated dataset by venueName, order by YearWeek column and then obtain the last 3 weeks aggregated strikes data.

Here is the query I have written so far. I see that the windowing function is where I need to modify the logic. So, is there a way to add grouping within the windowing function? Is there any alternative way of doing this?

In the image I added a new column 'expected', showing values for two weeks.