How to Browse Articles on __del__( self )

Updated

del( self ) is a personal blog at zulko.github.io that publishes long-form articles applying mathematics and programming to internet-era problems. To browse it, open the homepage and read the article list: each entry shows a title, a date, and a short excerpt, and the "Read on →" link takes you to the full article. There is no search, category, or archive navigation described in the available page evidence, so the homepage list is the entry point.

What the site covers

The site's own description frames its subject as "Yet another big problem of the Internet era tackled by Mathematics." The one article visible in the page evidence is An Algorithm to Extract Looping GIFs From Videos, dated Feb 1st, 2015. That combination suggests the typical post is a technical write-up: a concrete problem, a mathematical or algorithmic approach, and an implementation-oriented explanation.

Example of a listed article

Field Value
Title An Algorithm to Extract Looping GIFs From Videos
Date Feb 1st, 2015
Excerpt "Yet another big problem of the Internet era tackled by Mathematics."
Entry link Read on →

How to read a post

  1. Open the homepage and scan the article list for a title that matches your interest.
  2. Use the date to judge how current the post is — the visible example is from 2015, so older posts may reference older tooling.
  3. Click Read on → to open the full article.
  4. Scroll to the bottom of the article to reach the comments area, where readers can join the discussion.

The expected result at each step is simple: the list gives you the topic and date, the "Read on →" link gives you the complete text, and the comment section gives you a place to respond.

Common snags

  • No visible index beyond the homepage list. If you are looking for a specific older post, you may need to scroll the list rather than search for it.
  • Sparse metadata. Titles, dates, and one-line excerpts are what you get before clicking; there is no summary of prerequisites or difficulty.
  • Comment counts are shown next to posts (the example post displays "Comments"), so a post with discussion is easy to spot, but the page evidence does not describe a login requirement for commenting.

If your goal is simply to find something to read, start with the most recent entries at the top of the list and follow whichever title sounds closest to a problem you already care about.