- [X] Sampling stage
- [ ] Appraisal stage (In development)
The code is available on pypi and should work on any Linux distributions, MacOSX and Windows 10. To install it just run:
pip install pyNA
in the console.
You can install the package from the latest github source by doing:
pip install git+https://github.com/rbeucher/pyNA.git
The pip install should take care of the dependencies, if not you might want to check that you have the following packages installed on your system:
- numpy >= 1.17.4
- scipy >= 1.3.2
We recommend using Jupyter:
- jupyter
pyNA is an open-source project licensed under the MiT License. See LICENSE.md for details.
Dr Romain BEUCHER, The Australian National University [email protected]