PEP 622 proposed syntax for pattern matching, which received detailed discussion both from the community and the Steering Council. A frequent concern was about how easy it would be to explain (and learn) this feature. This PEP addresses that concern providing the kind of document which developers could use to learn about pattern matching in Python.
Source: PEP 636 – Structural Pattern Matching: Tutorial, an article by Daniel F Moisset.
Locality-sensitive hashing (LSH) is a set of techniques that dramatically speed up search-for-neighbors or near-duplication detection on data. These techniques can be used, for example, to filter out duplicates of scraped web pages at an impressive speed, or to perform near-constant-time lookups of nearby points from a geospatial data set.
Source: Introduction to Locality-Sensitive Hashing, an article by Tyler Neylon.
A neat trick is then to add a fragment part to the URL you use, and then do the globbing there. The fragment is the rightmost part of a URL that starts with a #-character and continues to the end of the URL.
Source: The curl fragment trick, an article by Daniel Stenberg.
Two neighbors have it out after one of them decorates his house for the holidays so brightly that it can be seen from space.
In the evening Alice, Esme, and I watched Deck the Halls. The movie was OK and I give it a 6 out of 10.