Comments (5)
yeah they are possible.
from xarray-selafin.
Related issues:
- there are no git tags
- there are no github "releases".
from xarray-selafin.
Thanks @pmav99
From what I understood, there are 3 options to build and upload with conda
, in order of preference:
- git tag
- git releases
- git clone from the repo
To tag a version:
TAG=0.3.0 && git tag --force v"${TAG}" -m "Release ${TAG}"
git push --tags
poetry
remains the best option for pure python codes.
To create wheel:
poetry build
to publish to PIPY:
poetry config pypi-token.pypi TOKEN # for the first time
poetry publish
from xarray-selafin.
3 options to build and upload to pipy
Do you mean to build the conda package? If yes, then there is also the option of getting the source code directly from PyPI. For PyPI I don't see what is the point of git cloning.
Furthermore:
- git releases
+ github releases
poetry remains the best option for pure python codes.
I am not sure I would say "best". But for the most part it is working fine.
from xarray-selafin.
Do you mean to build the conda package?
yes my bad, I meant conda
. corrected.
from xarray-selafin.
Related Issues (19)
- Make dask an optional dependency HOT 2
- setup CI HOT 1
- Use Hermes for the fastest io HOT 5
- Convert time from second to datetime64 HOT 1
- maintainers and contacts for the pipy package HOT 7
- Limit compulsory objects in DataSet dims/data_vars/attrs/coords and distinguish 2D/3D HOT 2
- refactor xarray-selafin-backend into xarray-selafin HOT 2
- Time stamp error HOT 1
- ikle indexing: pyTelTools ikle = slf ikle + 1 HOT 3
- Add equation example HOT 5
- remove netCDF4 and Shapely from the dependencies? HOT 7
- support for 1D result files HOT 1
- dtype not fully set in lazy loading HOT 4
- fix dependencies metadata
- Consolidation of setup.py, setup.cfg and pyproject.toml
- conda package HOT 1
- add feature: ikle2 / ikle3 as variable HOT 1
- serialization as netcdf throws an exception
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