Neat! I worked on a project where CSV parsing was a significant bottleneck (https://openaddresses.io/ https://openaddresses.io/, it processes street addresses).

Neat! I worked on a project where CSV parsing was a significant bottleneck (https://openaddresses.io/ https://openaddresses.io/, it processes street addresses). Roughly 50% of the processing in the time is spent parsing CSV and decoding to Unicode. I dinked around a bit and tuned it to read at about 30 MB/second and figured that was good enough. So this is a 100x speedup in reading (assuming all the stars align) which would cut that 50% down to nearly zero. Just as soon as it works transparently with a single Python import statement I'll use it ;-)