pycaz, a play on sounds on package, is a python package gathering the analysis tools developed during modelling with
SCHISM, but now expanded to contains all sorts of analysis and modelling functionalities. The original package was
called (vary unoriginally) pyschism. However following the development of the toolbox by the SCHISM/NOAA called
pyschism, the name is released for their use. The name pycaz comes from combination of py (short of python)
and caz (from Bengali word "কাজ", which means work).
Being a collection of different types of analysis, pre- and post-processing methods, some modules follows a more object oriented pattern, and some follows a more functional/procedural pattern. The documentation of the modules are not yet well-developed, and will be incorporated in a best-effort basis.
For best experience, the package should be installed in a conda environment, which can be obtained through any conda distribution such a anaconda or miniconda.
conda create -n pycaz -c conda-forge python numpy scipy matplotlib xarray netcdf4 utide cmocean rioxarray tqdm ipykernel pyproj cartopy geopandas shapely jupyterlab jupyter notebook Then the toolbox can be installed using -
conda activate pycaz
pip install .Feel free to use the scripts and if you find any bug report in the repo issues.