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 supported29 Subscribers
Add a CodeTriage badge to numba
Help out
- Issues
- New Type System/NumPy 2 support tracking
- Add type annotations for @intrinsic
- Some array methods much slower with non-C-order arrays
- CUDA: Providing a signature for a function reference when eagerly compiling does not work
- Add ability to @jit to disable auto-vectorization
- Elapsed running time of parallel jit for the logistic regression documentation example is dozens of seconds
- Shall we consider using an envvar to disable refct atomic instructions
- In some cases, Numba 0.57.1 (can also be reproduced in 0.59.0) does not assign values to a NumPy array
- Add .tobytes() method
- Added is identity comparison for numpy records and added tests as is_comparison_tests.py
- Docs
- Python not yet supported