https://github.com/person142/numba_special

Numba overloads for SciPy's special functions
https://github.com/person142/numba_special

numba scipy special-functions

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Numba overloads for SciPy's special functions

• Host: GitHub
• URL: https://github.com/person142/numba_special
• Owner: person142
• License: bsd-3-clause
• Created: 2019-07-04T07:09:41.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-07-09T04:13:46.000Z (almost 6 years ago)
• Last Synced: 2025-03-25T10:42:31.181Z (2 months ago)
• Topics: numba, scipy, special-functions
• Language: Python
• Size: 57.6 KB
• Stars: 7
• Watchers: 1
• Forks: 3
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Numba Special

[![CircleCI](https://circleci.com/gh/person142/numba_special/tree/master.svg?style=svg)](https://circleci.com/gh/person142/numba_special/tree/master) [![Documentation Status](https://readthedocs.org/projects/numba-special/badge/?version=latest)](https://numba-special.readthedocs.io/en/latest/?badge=latest)

Numba special allows SciPy's special functions to be used in

Numba.

## How to use it

```python

>>> import numba

>>> import scipy.special as sc

>>> import numba_special  # The import generates Numba overloads for special

>>> @numba.njit

... def gamma_plus_1(x):

...     return sc.gamma(x) + 1.0

...

>>> gamma_plus_1(5.0)

25.0

```

For detailed information on which functions can be used from Numba,

check the

[documentation](https://numba-special.readthedocs.io/en/latest/).

## Installing

Numba special depends on SciPy and Numba. Until the fix for

[this issue](https://github.com/numba/numba/issues/4133) is

included in a Numba release, `numba_special` must be installed

against the master branch of Numba.