Show HN: Python at the Speed of Rust
a year ago
- #Python
- #Compilation
- #Performance
- Python is popular but slow compared to native languages like C or Rust.
- Compiling Python into native code can improve performance significantly.
- Fused multiply-add (FMA) operations are crucial for AI and LLMs.
- Symbolic tracing captures Python operations to build an Intermediate Representation (IR).
- Type annotations help in generating native code from the IR.
- The IR can be lowered into native code for various platforms.
- Compiled Python can approach Rust's performance with some overhead.
- Potential applications include AI, real-time data processing, and on-device LLM inference.