Top all-time · #9332
Frames White
Personal blog · oxinabox.netprogrammingmathai
Frames White's personal blog at oxinabox.net covers programming, math and ai. Since 2021, 8 different Hacker News readers have linked it 10 times, most often “Julia 1.6: what has changed since Julia 1.0?”. It is still writing: the last post was on 2024-12-08, and you can follow it by feed.
Too few sampled comments (6) to say how often HN recommends it.?
Why HN links it
Lyndon White's blog on Julia and programming. Commenters link its Julia 1.6 post as a guide to what changed since 1.0, and cite it for Julia release and performance details.
Summarised by Claude from a sample of 6 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Most-linked posts?
- Julia 1.6: what has changed since Julia 1.0?5 people · 6 mentions · first linked 2021-02-14
- Automatic differentiation does incur truncation errors (kinda)2 people · 2 mentions · first linked 2021-02-08
What Hacker News says?
A modern circuit simulator, that has a fully featured programable API, that can be run from a real modern programming language, would be a dream. Every simulator i have used has been pretty limited in that way, or at least those features were not well advertized. Even the insanely expensive ones. I mean the most expensive ones (like $100K liscense type deals, like Cadence) are if anything even less modern from a use…
Comment linking /publications/White2015PsoTransistorSizing.pdf
on “Julia receives DARPA award to accelerate electronics simulation”Submitted Julia 1.6: what has changed since Julia 1.0? as a story · 262 points
HN discussionSee also Lyndon’s blog post [1] about what all has changed since 1.0, for anyone who’s been away for a while. [1] https://www.oxinabox.net/2021/02/13/Julia-1.6-what-has-chang...
Comment linking /2021/02/13/Julia-1.6-what-has-changed-since-1.0.html
on “Julia 1.6 Highlights”Submitted Automatic differentiation does incur truncation errors (kinda) as a story · 83 points
HN discussionYeah, it's still dissapointing how much system resources it takes to get a plot running (even with all the improvements in 1.6, benchmark taken from https://www.oxinabox.net/2021/02/13/Julia-1.6-what-has-chang... ). julia> @time (using Plots; display(plot(1:0.1:10, sin.(1:0.1:10)))) 9.694037 seconds (18.29 M allocations: 1.164 GiB, 4.17% gc time, 0.40% compilation time) To be honest, this isn't really something the…
Comment linking /2021/02/13/Julia-1.6-what-has-changed-since-1.0.html
on “Data Science in Julia for Hackers”Submitted Julia 1.6: what has changed since Julia 1.0? as a story · 2 points
HN discussionYou should check out https://www.oxinabox.net/2021/02/13/Julia-1.6-what-has-chang... if you've been away for a while. It's a pretty good list of what has been improved.
Comment linking /2021/02/13/Julia-1.6-what-has-changed-since-1.0.html
on “Data Science in Julia for Hackers”Submitted Skip the characters you don't care about in your book with ML as a story · 2 points
HN discussionWhat don't you understand -- the method of calculating the function is an approximation, thus the AD derivative is dependent on it, and the AD derivative is a derivative of the approximation, not the actual function. Whereas an approximation of the actual derivative is what we are truly after. > The key take away here is that the map is not the territory. Most nontrivial functions on computers are implemented as som…
Comment linking /2021/02/08/AD-truncation-error.html
on “Differentiable programming from scratch”Parallel precompilation! See also: https://www.oxinabox.net/2021/02/13/Julia-1.6-what-has-chang...
Comment linking /2021/02/13/Julia-1.6-what-has-changed-since-1.0.html
on “Release v1.6.0 of Julia”