NetApp DataOps Toolkit for Traditional Environments
Project description
The NetApp DataOps Toolkit for Traditional Environments is a Python library that makes it simple for developers, data scientists, DevOps engineers, and data engineers to perform various data management tasks, such as provisioning a new data volume, near-instantaneously cloning a data volume, and near-instantaneously snapshotting a data volume for traceability/baselining. This Python library can function as either a command line utility or a library of functions that can be imported into any Python program or Jupyter Notebook.
Refer to the documentation for a full list of available functionality.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for netapp-dataops-traditional-2.4.0.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4c1f7d782e61e84f9dadffd58bc175a4563c623056bdb2d3798c57d5a4651178 |
|
| MD5 | 5f59cc0a29699b649f7328a1159e46c8 |
|
| BLAKE2b-256 | aac397c8110cd4c1734936d291253bd12476ce084291e3641bfcb24de3d43525 |
Hashes for netapp_dataops_traditional-2.4.0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2df6efc079e7ecae7c98ca01c24dd4a0470e68c4cb6ed55450fffecbb55a01f6 |
|
| MD5 | 811a2675c4ed2ace3a0f0577930973ce |
|
| BLAKE2b-256 | 91a3ffa8867bf01106767d37caa49b47855775a8840bf8526db4797cc3784aff |
