Fast numpy ufunc operations
Project description
fastfunc
NumPy's own ufunc
operations
are handy, but can be quite slow (see https://github.com/numpy/numpy/issues/5922 and
https://github.com/numpy/numpy/issues/11156). Use fastfunc
as a drop-in replacement
# import numpy # numpy.add.at(target, idx, vals) import fastfunc fastfunc.add.at(target, idx, vals) # If you really only need _add_, you can use # numpy.bincount(idx, weights=vals, minlength=target.shape[0])
to get a speed-up by a factor of 40.
This is achieved by moving the operations to C++ using pybind11.
Installation
fastfunc is available from the Python Package Index, so simply do
pip install -U fastfunc
to install or upgrade.
Testing
To run the fastfunc unit tests, check out this repository and type
pytest
License
fastfunc is published under the MIT license.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size fastfunc-0.2.3.tar.gz (7.4 kB) | File type Source | Python version None | Upload date | Hashes View |