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-2.0.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7946a33c3f62863e1505ad81eac11b5ae6778373befd31ad57be9fc6866ed991 |
|
MD5 | 604ab2537c7c82cb51561bbbb16d2343 |
|
BLAKE2b-256 | aa52389b6d9cfb8d3a78e49dfd98ea69d447168bbe2939ebc5d86c2ffa6d853c |
Hashes for netapp_dataops_traditional-2.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 65df39a025bf64e35dc3040503095663e86e2480ff0bced063e3ec1066a798a3 |
|
MD5 | c7fbbfaaccca1286d7f6013256378f19 |
|
BLAKE2b-256 | d9a5b5ef480b0ee5d497ff9825fe08aec7a40b949a6ad3da25075449c6ebd432 |