261–270 of 560 posts
It seemed crazy to me Redis was still single threaded in 2019. Sometimes the rationale was one thread was enough to saturate a machine (it is not). Other times it was justified by the fact that you could create a local cluster - but I thought that was needlessly complex. Eventually I went ahead and just did it.
The project has since expanded to include Active Replication and a bunch of other new features.
I’m working on Snapchat.
Still a long way to go, but trying to make it easier (and cheaper!) to research public companies / stocks - with both quantitative and qualitative data. https://docoh.com/
An Android client to control mpv (media player) remotely. It is actually both the server (written in python) and client. I started it because I didn't want to get up to control the movie playing on my laptop, and it has turned into a fun experiment in UX and network security. https://github.com/mcastorina/mpv-remote-app
In my spare time I write and research algorithmic trading strategies. I’ve been sticking to the traditional techniques, with a small toe into statistics for modeling.
With whatever time is left, I’ve been learning rust and have enjoyed it quite a bit so far.
On exercism.io, learning rust and mentoring people learning JavaScript. Both sides are a lot of fun! Please join in if you can on mentoring... there's a pretty big back-log.
That's awesome! Is there any open source parts of the project we could contribute to, as well?
[1] https://exercism.io/contribute [2] https://github.com/exercism/exercism
Indoor vegetable and fish farm, i.e. aquaponics, in a fully circular production system. We are building our pilot installation right now. Additionally we got two government grants: one to set it up monitored with sensors, and a production management system, for future automation, traceability and transparency for the food chain; the other to start taking in food waste and converting into fish food via insect larvae,…
I’m currently involved in some work with interconnected mesh networks and have some contacts in this field. Feel free to message me :D
Working on a infrastructure change tracking service called Deltatrail.io. It tracks changes both automatically (via API, Jenkins, AWS Cloudtrail, etc) and also manually (via Slack, etc). It really helps us when trying to debug outages or issues that arise. Most come from changes that have been made/deployed.
I'm also spending quite a bit of time looking into the ability for these neural differential equations to understand phase space. What exactly do they learn, and why? Can you predict beforehand how well you can learn the equations directly from data? Of course, this is intertwined with the previous part, because to understand how well you can auto-learn neural SPDEs you need the ability to quickly solve neural SPDEs, along with all of the implicit solvers and GPU support.