Since then, I've been working more and more with TidalCycles. TidalCycles is an open-source live coding framework for creating patterns written in Haskell. TidalCycles uses SuperCollider on the backend, another language I've been using for live coding. Recently, I started using Tidal Looper for live vocal processing. This blog post will walk you through what you need to get started with vocal looping with Tidal... - Source: dev.to / 19 days ago

Csound is... "interesting". If you want to play with something more modern, have a look at https://supercollider.github.io/ instead. - Source: Hacker News / 9 months ago

For the intrepid, especially those annoyed with the purported input-sluggishness of musescore et al, an interesting text-based alternative is LilyPond https://lilypond.org/ My dad wrote an opera using LilyPond in vim, though I believe these days he's actually doing more with supercollider, which skips sheetmusic and goes right to sounds: https://supercollider.github.io/. - Source: Hacker News / 11 months ago

Weirdly enough,I got into programming through music. I got into making experimental electronic music and ended up learning SuperCollider. Figured I’d have to get a real job at some point and I liked learning Supercollider enough that I figured I should try to go back to school and learn some more useful programming languages. Source: about 1 year ago

So you’re wondering what would making music with code look like? The tools I’m familiar with are TidalCycles, Sonic Pi, and SuperCollider. I’m having a hard time describing what it’s like to make music with tools like these so here’s a video of a performance. One person is live coding the music and the other is live coding the visuals. I think it’s super cool how the music is improvised and built over time by... Source: about 1 year ago

There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago

I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago

This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago

Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago

Check out https://aws.amazon.com/emr/. Source: about 2 years ago