Name | jrpyspark JSON |
Version |
0.1.1
JSON |
| download |
home_page | |
Summary | Jumping Rivers: Big Data Analytics with PySpark |
upload_time | 2023-08-18 10:43:04 |
maintainer | |
docs_url | None |
author | Jumping Rivers |
requires_python | >=3.8 |
license | |
keywords |
|
VCS |
|
bugtrack_url |
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requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
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# Python packages
These packages were created using the poetry python package.
https://github.com/sdispater/poetry
To rebuild this package, clone the repo and install poetry.
The following commands at the project root will then be useful
* `poetry install` - grab and install all the dependencies necessary for building the package.
* `poetry build` - build the wheels and tar for the package
* `poetry publish` - publish the package to pypi
If you want to build your own package from scratch, the README for poetry is a good source.
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