numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported27 Subscribers
Add a CodeTriage badge to numba
Help out
- Issues
- give primitive types a faster key&value compare, copy, and zero methods in TypedDict
- [Feature Request] `key_equal`, `copy_key`, `zero_key` in dict is slower than direct assignment if key type is primitive
- Type inference leads to libNVVM bugs on 0.59.1
- jitclass apraisal and performance revisit request.
- Replace `context.compile_internal` by `@overload` in cmathimpl.py
- Add support for more random functions.
- Type system implementation #1: Added initial implementation for a new type system using redundancies.
- [Feature Request] OpenCl Integration like CUDA.
- Add compile-time coverage for compiled code
- Aggressive typecasting with specialization leads to silent wrong value output
- Docs
- Python not yet supported