hey all! i wanted to share this use case that we came across in our community 😊 authored by @YK --- When John Shelburne of CatFIX Technology needed to process 59 million bond market records (28M bonds + 31M prices + trade ideas) for his neural network model, he had a few options: • Continue using pandas (taking 3 days for processing) • Move to Vertex AI or another cloud service (more costs) Essentially, he was choosing between painfully slow local processing or expensive cloud compute. That's when he discovered Daft. By switching from pandas to Daft, John achieved: • 7.3 minutes total runtime (vs 3 days previously) • 600x faster processing • 50% lower memory usage • All running locally on his iMac As John put it: "HOLY SMOKES WAS IT FAST! My neural network model is now trainable in real time." See his original post: https://www.linkedin.com/posts/shelburne_daft-eventual-katana-activity-7371644995176460288-a02g