hamilton VS glicol

And find the repository here: https://github.com/dagworks-inc/hamilton/

Python - https://github.com/stitchfix/hamilton (author here). It's great if you want your code to be always unit testable and documentation friendly, and you want to be able to visualize execution. Blog post on using it with Pandas https://link.medium.com/XhyYD9BAntb.

Yes! As one of the creators of https://github.com/stitchfix/hamilton this was one of the aims. Simplifying the cognitive burden for those developing and managing data transforms over the course of years, and in particular for ones they didn't write!

For example in Hamilton -- we force people to write "declarative functions" which then are stitched together to create a dataflow.

E.g. example function -- my guess is that you can read and understand/guess what it does very easily.

For (1) there are quite a few options - prefect is one, metaflow is another, airflow, dagster, even https://github.com/stitchfix/hamilton (core contributor here), etc.

If you're want to do more python https://github.com/stitchfix/hamilton allows you to model dependencies at a columnar (field) level.

Take a look at https://github.com/stitchfix/hamilton - we're after contributors who can help us grow the project, e.g. make documentation great, dog fooding features and suggesting/contributing usability improvements.

For a real world example of their power, we built an entire framework (https://github.com/stitchfix/hamilton) at Stitch Fix, where a lot of cool magic is provide via decorators - see https://hamilton-docs.gitbook.io/docs/reference/api-reference/available-decorators and these two source files (https://github.com/stitchfix/hamilton/blob/main/hamilton/function_modifiers_base.py, https://github.com/stitchfix/hamilton/blob/main/hamilton/function_modifiers.py ). Note we do some non-trivial stuff via them.

For data processing/transform code, I would recommend looking at https://github.com/stitchfix/hamilton, especially if you're trying to test pandas code. Short getting started here - https://towardsdatascience.com/how-to-use-hamilton-with-pandas-in-5-minutes-89f63e5af8f5 (disclaimer: I'm one of the authors).

The python package, hamilton, from Stitch Fix (https://hamilton-docs.gitbook.io/docs/) can help manage transformations on pandas dataframes. This DAG of transformations is managed separately in a file - so it can be versioned, in case the transformations change. The memory required is reduced, because only the API call tables and mapping parameter table have to be in memory. The calculated columns can be produced as needed. Just like dbt, transformations are separate from the source tables - but hamilton can be used on any python object - not just dataframes. dbt is SQL based.

I've worked on Ambient Engine and now on the Bevy engine. I totally agree with these points, very valuable. I only make some comments from my professional (audio) perspective:

We need the highlight author's affirmation of cli. Rust's tui (ratatui) is great. I used it to make Glicol-cli [1]. If you are a Linux user, you are welcome to test the music production of the code.

Speaking of game audio, I actually think rust is perfect for audio. I have also continued to develop Glicol recently, and my recent goal (starting tomorrow) is the bevy_glicol plug-in. I want to solve bevy's audio problem on the browser.

All in all, even though I've had my share of pain with ecs, I still think rust is very valuable for game and app development, maybe not multiplayer AAA, maybe practical apps.

[1] https://github.com/glicol/glicol-cli

[2] https://github.com/chaosprint/glicol

Nice! Great project website styling and demo.

I had a WebGPU scope demo using vanila JS here, but it's not connected to AudioContext at all.

https://stackblitz.com/edit/vitejs-vite-cuc9vs

Still, I had to use the old WebGL solution for https://glicol.org since the WebGPU support seems to be pretty slow at the moment.

Suno is great and I already shared its potential back in v2. I have always believed that the essence of digital music is "organized numbers". I think what needs to be thought about is how to use AI in this process. If you look at the results (numbers) generated, then we are indeed very close. But there is another future I believe: I hope AI can compose music with me, like copilot. This is why I keep working on

https://glicol.org/

and the destination is:

https://github.com/chaosprint/RaveForce

Also want to hear your feedback.

Interesting!

Similar note-based expression can be found on TidalCycles/Strudel. although it's not valid MIDI format anymore, you can use notation like c4, f3, and make them as "pattern". Samples are also supported in the same manner:

https://strudel.cc/

And in my project Glicol, I use only numbers in the seq node. So 60 means middle C. Underscore means rest.

https://glicol.org/

I also applied with Glicol (https://glicol.org/) and got rejected, which is totally understandable. I am basically working this project on my own with almost zero extra funding.

I am currently working on a new website. The old stack is Vite, Svelte and Windi CSS (discontinued unfortunately). So this time maybe Astro + Solid + Tailwind.

And I am also trying to rewrite the whole Rust backend if possible, so there is quite some work to be done.

Let me know on GH or Discord if you are interested.

It's a good chance to try Rust, WASM, DSP, etc.

This is a really informative and inspiring article.

It hasn’t been 6 months (not 6 years) since I quit my full-time job as a Rust developer to start my own business.

As time goes by, I can feel the pressure of mortgage and car loans, and I can also feel the care and pressure of my family.

My original plan was to make an interface for Glicol (https://glicol.org), and to develop relevant hardware with firmware written in rust for school education.

I sent some cold emails to VCs, but most of them got no reply.

I also sent an email to the Norwegian Museum of Science and Technology, offering to perform for children for free, but they didn’t reply for two months. I shamelessly sent it again, and someone finally replied with a rejection.

Only one VC talked to me and thought that I should convince and validate a partner first, and he suggested that I go to an incubator.

Very good advice.

Later I learned that even Norwegian education startups skipped Norway and focused directly on the US market.

People from the incubator also told me that it is impossible for Norwegian schools to accept new things independently.

This is very enlightening to me because most of Glicol's visitors are indeed from the US. And it took me so long to discover this fact.

But if I don’t start, I’ll never get past those six months.

I picked up LOGO when I was 6 and leant Pascal and C later.

I didn't program for a few years because I wasn't interested in competitions. So I think interest is the most important, otherwise it will be easy to get lost and give up.

Later, I became very interested in programming, mainly because I came into contact with music technology.

I think since your child is interested in game development, it is a good choice to start step by step. For example, starting with threejs. I also recommend learning Rust and Bevy so you learn the underlying layers and ECS.

Last but not least, although it's not related to games dev but I sincerely invite you and your son to try Glicol (https://glicol.org), the project that I am developing.

I quite my job as well to work on

https://glicol.org

I have a lot of feelings, but I don't have a blog so far. But one of my feelings is that universities should alloc some of their funding to many of these open source projects and open source community should be better managed rather than donation. My plan is to start my own company and work on hardware .