Except that sorts the list in reverse: https://tio.run/##Vc6xDsIwDATQPV9xYyJ5od2Qyo9UGYhIwFXkVlY68PUhKSDEctb5Lbc9y2OVsdZbTAh7CDlacWcDpFXBYIFe5R5tjtLgkLctP2P6U4ATZF48Lu2w/35xNOoy9aBem2ksuwrE5Gk@0UAjDd5sylLsZ1F2rtYX (Also a subtle off-by-one error, it should be 0 to |n|-1 and I to |n|-1.). - Source: Hacker News / 7 months ago

How is this different from Try It Online https://tio.run ? - Source: Hacker News / almost 2 years ago

Given your PL interpreters are written in Python, why not just share them as Python programs, optionally bundled with CPython? Are you concerned abput having a CPython dependency? PLs like Scala or Kotlin or Clojure depend on a backend (JVM, JS), so why not your PL? Or is the issue absolute simplicity? In which case, I suggest aiming at making it available via an online evaluator such as tio.run -- which boils... Source: over 2 years ago

TIO is actually quite good for that, even if it's more commonly associated with code golf. https://tio.run/. Source: almost 3 years ago

Try It Online[0] seems to offer a very similar service - if you don't care about the collaboration aspect of it. It claims to be self-hostable[1]. glot.io[2] is another, which seems to fit more in the realm of "pastebin with runnable snippets". As I understand it, a big sell of repl.it is that they have some kind of collaborative editing support, which none of the alternatives I was able to find in a few minutes... - Source: Hacker News / about 3 years ago

To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize,... - Source: dev.to / 4 months ago

Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views. https://github.com/timelydataflow/differential-dataflow. - Source: Hacker News / 8 months ago

Materialize | Full-Time | NYC Office or Remote | https://materialize.com Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that... - Source: Hacker News / 9 months ago

Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/ You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. That is Materialize, the only true SQL... - Source: Hacker News / about 1 year ago

Materialize | NY, NY | https://materialize.com/ The Cloud Database for Fast-Changing Data. We put a streaming engine in a database, so your team can build real-time data products without the cost, complexity, and development time of stream processing. Cloud team openings: https://grnh.se/0ad6ab6b4us Senior PM openings: https://grnh.se/415c267f4us. - Source: Hacker News / about 1 year ago