Metadata-Version: 2.1
Name: nvdsw
Version: 0.0.394
Summary: Nvidia Data Science Workbench
Home-page: http://www.nvidia.com/workbench
Author: Dima Rekesh
Author-email: drekesh@nvidia.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/NVIDIA/data-science-stack/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3.6.9
Description-Content-Type: text/markdown
Requires-Dist: pip (>=21.1.3)
Requires-Dist: PyYAML
Requires-Dist: feedparser
Requires-Dist: semver
Requires-Dist: pynvml
Requires-Dist: kaggle
Requires-Dist: jupyter-repo2docker
Requires-Dist: ewmh
Requires-Dist: timeago
Requires-Dist: iso8601

# 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
```




