Rust: Python's New Performance Engine
3 days ago
- #Python
- #Rust
- #Performance
- Rust is increasingly used in Python for performance optimization, with a 22% increase in usage for Python binary extensions in one year.
- Rust offers C-level performance, memory safety, and a better developer experience compared to C.
- High-profile Python projects like Polars, Pydantic V2, and FastAPI are leveraging Rust for significant performance improvements.
- Rust is influencing Python's core infrastructure, with ASGI servers and new type checkers written in Rust gaining traction.
- Enterprises benefit from Rust-enhanced Python through cost savings, improved performance, and energy efficiency.
- Python developers are advised to learn basic Rust to better understand and utilize Rust-enhanced libraries and extensions.
- The future of Python and Rust is hybrid, combining Python's expressiveness with Rust's performance for intensive tasks.