pitcher | audio pitch-shifting & re-sampling utility | Audio Utils library

I am trying to select a subset of data in a range and copy it to another sheet in Excel. My thought process was as follows

1. Find the first and last instance of the value in a column
2. Copy from the first instance down to the last instance and all the way to the Right
3. Paste the range of data into my sheet

I am having trouble finding the first and last instance of the value in a column and setting the range to copy.

This is what I have so far:

I have a django project with a select dropdown. I have typed in the names of players that users can select, but i want to populate the dropdown with the same names but dynamically from the database. How can i go about this?

This is my html so far, not sure how to write the views.py for this, or if i should do a for loop or and if.

This has been driving me crazy and I've been looking through similar posts all day but can't seem to solve my problem. I have a naive bayes model trained and stored as model. I'm attempting to predict with a newdata data frame but I keep getting the error Error: $ operator is invalid for atomic vectors. Here is what I am running: stats::predict(model, newdata = newdata) where newdata is the first row of another data frame: new data <- pbp[1, c("balls", "strikes", "outs_when_up", "stand", "pitcher", "p_throws", "inning")]

class(newdata) gives [1] "tbl_df" "tbl" "data.frame".

I don’t really even know where to begin with this.

I have a Django form in which I am saving baseball stats to my database. The problem I an having is with innings pitched.

In baseball, innings are measured in thirds but instead of .33, .66, .99, each third is represented as .1, .2, .0

For example a pitcher could throw 5 innings, 5.1, 5.2, 6.

How can store and manipulate data this way?

Thanks for your help.

I'm working on a Baseball Simulator app with Dash. It uses a SGD model to simulate gameplay between a lineup and a pitcher. The app (under construction) can be found here: https://capstone-baseball-simulator.herokuapp.com/ and the repo: https://github.com/c-fried/capstone_heroku

To summarize the question: I want to be able to run the lineup optimizer on the heroku server.

There are potentially two parts to this: 1. Running the actual function while avoiding timeout. & 2. Displaying the progress of the function as it's running.

There are several issues I'm having with solving this:

1. The function is expensive and cannot be completed before the 30-second timeout. (It takes several minutes to complete.)

For this, I attempted to follow these instructions (https://devcenter.heroku.com/articles/python-rq) by creating a worker.py (still in the repo), moving the function to the external .py...etc. The problem I believe was that the process still was taking too long and therefore terminating.

1. I'm (knowingly) using a global variable in the function which works when I run locally but does not work when deployed (for reasons I somewhat understand - workers don't share memory https://dash.plotly.com/sharing-data-between-callbacks)

I was using a global to be able to see live updates of what the function was doing as it was running. Again, worked as a hack locally, but doesn't work on the server. I don't know how else I can watch the progress of the function without some kind of global operation going on. I'd love a clever solution to this, but I can't think of it.

I'm not experienced with web apps, so thanks for the advice in advance.

What is the best way to fix the issue where the form fields values cant be seen when selected when the table fits the screen. I want the table to scroll at least and have the form fields be actually visible to the eye. Specifically you can see this in the innings pitched.

The Problem

I am using lpSolve to find the optimal lineup for a fantasy baseball team - a knapsack problem involving the price SALARY and projected points DK of each player PLAYERID within the given constraints of the contest.

The current code works great, but I have a constraint I would like to add that I can't quite figure out. The new constraint is to not have any players in the lineup facing one of the pitchers SP in the same lineup.

What I Have So Far

I created a column called MNBT (Must Not Be Together) which defines the opposing pitcher's PLAYERID that must not be found in the same lineup as each player, but I am stuck there. The first 20 rows of the data.frame slate_players are as follows (I can provide all 91 rows for this specific contest if needed):

I want to solve the following task:

Name every pitcher in baseball history who has accumulated at least 300 wins ( W ) and at least 3,000 strikeouts ( SO ).

(Hint: Use Team data in Lahman package)

So far I tried

I am working on a Postgres table that simulates events during a baseball game (pertinent fields include id, game_id, home_score, away_score, game_id), and I'm trying to identify the moment in the game where the lead changed for the final time (over simplified way of determining winning and losing pitchers at the time).

I've been able to use last_value to find who the final winner is, and I can identify the last record where that ISN'T the case ... but I want the next record, and I can't quite even wrap my ahead around the best way to use lag(id,1) OVER (order by id) for this part. I just feel like there's an overall more elegant way to do this.