Installation¶
Installation with pip
or conda
is currently neither supported nor
necessary. Just clone the code repository from git:
git clone https://github.com/ncgeib/pypret.git
and the directory pypret
within contains all the required code of the
package. Either add its location to your PYTHONPATH or copy it in your
working directory.
As the package matures I may add an installer.
Requirements¶
It requires Python >=3.6 and recent versions of NumPy and SciPy. Furthermore,
it requires h5py
for storage and loading.
Optional dependencies are
- pyfftw (for faster FFTs)
- numba (for optimization of some low-level routines)
- python-magic (to recognize zipped HDF5 files)