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.
Project details
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-2.3.0a6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 78325d69a6cca2a4f7ece3aba7503bfc1df509c7f5ed430dee76d5a9360e14e7 |
|
MD5 | 7a8246174782d57af0250ad0b8b11e4a |
|
BLAKE2b-256 | 798fcb101b4d8d8455522e35714bcc703d58fc3fb6beeee52b4a6f49f10e22de |
Hashes for netapp_dataops_traditional-2.3.0a6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3603642787216b7541c29e329816ae6e412eef659c6ff4a804263d055eba7724 |
|
MD5 | 63cc80fc645160f01814542c167c368c |
|
BLAKE2b-256 | 6823b8d53b4ed2d50a1bd334e533c5d6042d4ed204d3a028ecc3dd7ad0d83faf |