How unsafe Rust made Polars 30x times faster than Pandas
👉Join the Rust Live Accelerator waitlist: https://letsgetrusty.com/join/wv-l6tisoOzTukLearn how Polars uses unsafe Rust to improve DataFrame performance through unchecked indexing, uninitialized buffers, shared raw pointers, trusted iterator lengths, and zero-copy type reinterpretation. This video explains the performance benefits of each technique, the safety guarantees developers must uphold, and how Polars keeps unsafe implementation details behind a safe public API.
Chapters:
0:00 Intro
00:48 Unchecked Indexing
02:06 Building buffers without zero initialization
03:19 Sharing raw pointers across threads
04:53 Exact iterator lengths with TrustedLen
05:46 Zero-copy conversion with transmute
07:11 How Polars keeps Unsafe Rust internal Receive SMS online on sms24.me
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