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 / 16 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: almost 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

Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago

Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago

Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago