Top all-time · #17166
Tom Kwong
Personal blog · tk3369.wordpress.comprogrammingdata
Tom Kwong's personal blog at tk3369.wordpress.com covers programming and data. Since 2018, 4 different Hacker News readers have linked it 5 times, most often “An Updated Analysis for the “Giving Up on Julia” Blog Post”. The last post was in 2020, but the archive is still widely read.
Too few sampled comments (2) to say how often HN recommends it.?
Why HN links it
HN commenters link Tom Kwong's posts on Python performance and Julia, including a 2018 update to an earlier Python performance analysis and a Julia 1.0 write-up. They are cited as sources and updates.
Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
All for fun!
Most-linked posts?
- An Updated Analysis for the “Giving Up on Julia” Blog Post3 people · 3 mentions · first linked 2018-02-04
What Hacker News says?
From 4 years ago... a lot has changed since. Consider this recent post for example: https://tk3369.wordpress.com/2018/02/04/an-updated-analysis-...
Comment linking /2018/02/04/an-updated-analysis-for-the-giving-up-on-julia-blog-post/
on “Python’s Weak Performance Matters”Submitted An Updated Analysis for the “Giving Up on Julia” Blog Post as a story · 55 points
HN discussionConcerning the "Giving up on Julia" article, it's very dated and dubious. Please read [1]. About the second quote: this is not about Julia being slower than Python; it's about avoiding cache misses. Obviously you should exploit contiguity of the data in memory. Secondly, the 'decorators' like "@inbounds" just ensure that Julia does not redundantly checks bounds, otherwise the inner loop has branches and cannot explo…
Comment linking /2018/02/04/an-updated-analysis-for-the-giving-up-on-julia-blog-post/
on “My favorite things that are coming with Julia 1.0”Submitted An updated analysis of the “Giving up on Julia” post as a story · 12 points
HN discussionSubmitted Debunking “Giving Up on Julia (for Python)” as a story · 1 points
HN discussion