5th November 2017 - Link Blog
Super Fast String Matching in Python (via) Interesting technique for calculating string similarity at scale in Python, with much better performance than Levenshtein distances. The trick here uses TF/IDF against N-Grams, plus a CSR (Compressed Sparse Row) scipy matrix to run the calculations. Includes clear explanations of each of these concepts.
Recent articles
- Conceptual integrity and counting lines of code - 19th August 2026
- Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things - 16th August 2026
- Now we have a timeline of the OpenAI accidental attack against Hugging Face - 7th August 2026