kvnhn

8 ms·

1. 61.▲
   by kvnhn 6y ago

   > In my ideal world, there is a single DAG dictating all build, testing, and release tasks. I've stewed on this as well, and I'll add my two cents: I'd argue this problem -- building and managing a DAG of tasks -- isn&#x27
2. 62.▲
   Hash – Multi-agent simulations in your Web browser(hash.ai)

   1 points by kvnhn 6y ago|0 comments
3. 63.▲
   Andrew Ng: From Model-Centric to Data-Centric AI [video](youtube.com)

   4 points by kvnhn 6y ago|0 comments
4. 64.▲
   by kvnhn 6y ago

   My point is that I enjoy the Python stack, and I'm seriously considering Julia on future projects; I'm not giving R the same consideration. Python vs. R is almost a matter of taste IMO. I vastly prefer Python to R for data science
5. 65.▲
   by kvnhn 6y ago

   Thank you! I've seen this language/extension/library pop up a few times and I don't see, even remotely, how it could displace the Python data science stack. The biggest competitor to Python in this space, IMO, is Julia.
6. 66.▲
   by kvnhn 6y ago

   Maybe not exactly what you're looking for, but I'm building a tool that's meant to be a companion to Git for large files[1]. The core concept is to track large files/directories in a separate content-addressed store and