Data Science Workbench
Build process
Clone the repo, build the docker image for the build environment, e.g. cd nvdss && sh build-docker.sh. Now you can launch your build docker container, e.g. sh run-docker.sh
To run the build:
sh build.sh none
# if you want to push to the pip test or prod
# sh build.sh test
# sh build.sh prod
The build creates a .whl file, e.g. dist/nvdsw-0.0.382-py3-none-any.whl
Now, you can reinstall nvdsw, e.g. do this outside of docker
pip3 install --force-reinstall dist/nvdsw-0.0.382-py3-none-any.whl
Now you can launch nvdsw:
nvdsw
Metadata
Release files for nvdsw 0.0.395
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nvdsw-0.0.395-py3-none-any.whl | Python 3 | none | any | Details for nvdsw-0.0.395-py3-none-any.whl |
Release files / nvdsw-0.0.395-py3-none-any.whl
| Download URL | nvdsw-0.0.395-py3-none-any.whl |
|---|---|
| Size | 202.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3ff6614f8ce08d427bb81555ea86d098f494ab4e3de5e115150f5be5753baac4
|
|
BLAKE2b-256 checksum How to use checksums |
f359835540e3931157ae7d4b1e232f698b21a4417cb1b1bd751692f65ffa33fe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
|
Security for nvdsw 0.0.395
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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