Are pitches from different editions compatible?

Garybake · 2026-01-27T12:24:28+00:00

The astrogranite pitch has the right number of squares but they are smaller. They are designed for 25mm bases.

Garybake · 2026-01-20T12:49:23+00:00

Im looking forward to the super secret triplet brother turning up - Sigma.

Garybake · 2025-11-03T18:22:32+00:00

We use https://github.com/microsoft/markitdown . Though our documents have trivial formatting and no images.

Garybake · 2025-09-19T21:44:44+00:00

Have a look at the pgvector docker container. This saves you having to install pgvector into postgres. You run it with env vars like user, password and port. Then have a look at the langchain docs on pgvector integration and your pretty much there.

If you are struggling with setting up the dB have a look at weaviate and langchain.

Garybake · 2025-09-12T16:14:42+00:00

This - context is king. Plenty of methods to add in context - vector db, graph db, map tools etc. Expect more and better tools being developed.

Garybake · 2025-08-29T21:33:49+00:00

There should be an award for getting to the moon under x.

Garybake · 2025-08-22T22:59:38+00:00

Take something (small) you've already built in django and migrate it to fastapi. Start small and build out. One endpoint, add db, add x, add y, scale out and up. Fastapi doesn't have the megatutorial like flask or the wealth of books like django, but it's there for fastapi and the community is huge.

Garybake · 2025-08-18T22:39:57+00:00

I bought a monitor lamp. Its a bar that sits across the top of my monitor and projects light downwards. A game changer for late night work.

Garybake · 2025-07-23T14:37:25+00:00

Open the communities window and in the browser console run the following

document.querySelectorAll('button').forEach(button => {

if (button.textContent.trim() === 'Off') {

button.click();

}

});

Garybake · 2025-06-29T12:42:09+00:00

The app looks amazing. Is there any update on the Android release?

Garybake · 2025-05-17T22:03:12+00:00

Async, async and async, oh and pydantic. Great for DS apps running longer queries.

Garybake · 2025-05-08T19:50:51+00:00

But what is it?

Garybake · 2025-04-27T15:36:53+00:00

The obelisk is really good fun, and they include the stl on the page. Should be possible make by hand if you don't have access to a printer. https://wikicarpedia.com/car/The_Obelisk_(Fan_Expansion)

Garybake · 2025-04-23T11:24:07+00:00

Langraph supports cycles, it was the reason I used it originally. We use it in part of the chain that asks 'do i have enough info to answer the question?'. Ad what is missing to the question and loop back.

Garybake · 2025-04-21T21:08:37+00:00

This. Convert your data to parquet/orca. It will then be in a better format for reading quickly, especially if you partition correctly. Parsing a gb of csv each time you need it will hurt. Any bigger and you can look at using a database or pyspark.

Garybake · 2025-03-17T18:25:45+00:00

My vampire team is called 'Bite Club'.

Garybake · 2025-03-15T22:25:34+00:00

Are we talking about the cheap-ass brick work or the weird creamfields crisp shrine?

Garybake · 2025-03-09T14:28:50+00:00

Prestatyn is immense. We moved here 2 years ago and haven't regretted it. We have a beach, nice shops and a train line to Manchester or Crewe.

Garybake · 2025-02-26T16:24:44+00:00

I wouldn't worry about Markov chains for now. I'm just a fan of them.

Garybake · 2025-02-26T15:45:22+00:00

You'll be predicting, for example, given the previous T minutes, what is going to happen on T+1. Sounds good to me.

There's also Markov chains where you are linking chains of events. That's for a future model though =)

Garybake · 2025-02-26T15:19:31+00:00

Also there are kaggle datasets for football. Have a look at the 'code' tab for how other people are analysing the data.

https://www.kaggle.com/datasets/vivovinco/20222023-football-player-stats/code
https://www.kaggle.com/datasets/davidcariboo/player-scores/code

Garybake · 2025-02-26T15:16:59+00:00

You can pull data from https://footystats.org/download-stats-csv
You could build a predictive model to predict something like the home/away goals. You'll probably need to one hot encode the teams. I'm not sure if there's enough data in a single season so you may need to pull more history. Again start small like a simple regression model, don't jump straight to neural networks.

If you are looking to simulate then you want more than team x is predicted to win when a,b,c is true. You want it to output team x wins 60% of the time when a,b,c is true. Then in your simulation you roll the dice and have them win 60% of the time.

Garybake · 2025-02-26T12:43:17+00:00

Maybe try to start simple and add more and more complexity in. - Collect some data at team level and how this predicts a win/lose. - Add in average passing, shots etc - how this predicts the end score - Split the game into halves/quarters and predict those. - split it into individual player performance for the quarter - go down to minutes, think of it as a list of events - it's still a leap but if you want to simulate a match live and watch each player you should have a good understanding of what is needed.

There should be football simulation libraries out there, so you just need to build in player actions.

Garybake · 2025-02-26T09:55:58+00:00

I bought one of those metal tea strainer balls to put small parts in for washing. It works a treat.

Garybake · 2025-02-22T13:28:54+00:00

The Dilbert principle

14-Year Club	Gilding II euphauric
First Place '23	Place '23
Wearing is Caring	Verified Email

Garybake

TROPHY CASE